This document summarizes a presentation given at the Huntsville Hamfest on August 15, 2015 about software defined radios (SDR), remote HF capabilities, and updates on FlexRadio systems. It discusses what constitutes an SDR, the history and technologies that enable SDRs, and how remote HF and the Maestro control interface expand SDR capabilities. It also provides an overview of the Flex 6000 SmartSDR and details on the Global AIS on Space Station (GLASS) project to collect worldwide Automatic Identification System maritime tracking data from the International Space Station.
SDR technology is advancing in several areas. Direct sampling digitizes the entire HF spectrum and allows for unlimited receivers and panadapters. Networking allows operating from anywhere. Speech processing provides power improvements. Future capabilities may include signal classification, advanced noise reduction across antennas, and better integration of remote stations.
This document summarizes Stephen Hicks' presentation on SDR architectures, remote radio, and FlexRadio updates at Ham-Com on June 13, 2015. It discusses the history and definition of software-defined radio, how SDR technologies allow for software control of radio functions. It presents FlexRadio's SDR architecture including direct sampling and their SmartSDR software. It introduces Maestro, a remote control surface for FlexRadio radios, and provides an overview of recent and upcoming SmartSDR software features and priorities like noise blanking and contesting support.
This session combines the high speed analog signal chain from RF to baseband with FPGA-based digital signal processing for wireless communications. Topics include the high speed analog signal chain, direct conversion radio architecture, the high speed data converter interface, and FPGA-based digital signal processing for software-defined radio. Demonstrations use the latest generation Analog Devices’ high speed data converters, RF, and clocking devices, along with the Xilinx Zynq-7000 SoC. Other topics of discussion include the imperfections introduced by the modulator/ demodulator with particular focus on the effect of temperature and frequency changes. In-factory and in-field algorithms that reduce the effect of these imperfections, with particular emphasis on the efficacy of in-factory set-and-forget algorithms, are examined.
Software defined radio (SDR) moves signal processing from analog hardware to digital software. An SDR receiver can consist simply of an antenna connected to an analog-to-digital converter, with all filtering and detection done digitally. Common types of SDR include inexpensive RTL-SDR devices using DVB-T TV tuners and more full-featured commercial SDR that can handle multiple bands and transmit. SDR requires software to function since processing, filtering and control are performed in software. SDR apps allow similar functionality on smartphones that support USB-OTG connections to SDR devices.
Software defined radio (SDR) is a radio communication system where components implemented in hardware, such as mixers and filters, are instead implemented by software. An SDR system uses a microprocessor to map user data to waveforms which are then converted to RF signals and transmitted via antenna. Received signals are sampled, digitized, and processed in real time by a general processor. SDR offers benefits like cost efficiency, flexibility, and avoiding interference, but faces challenges like developing antennas that can dynamically tune across wide bandwidths and sampling speeds fast enough to digitize high frequencies. Applications of SDR include military systems, NASA projects, and future 5G networks.
SDR and cognitive radio technologies will enable more flexible use of radio spectrum and facilitate interoperability between different communication standards. Key drivers include the need for first responder communications during emergencies, the increasing number of wireless standards, and the scarce availability of radio spectrum. SDR allows communication standards and functionality to be reconfigured through software downloads. Future technologies like improved ADCs, DSPs, and cognitive abilities will advance SDR and spectrum sensing capabilities. Both military and commercial applications are expected to benefit from SDR and cognitive radio.
This document discusses software defined radio (SDR) technology. It begins with an overview of radio technology and terms. It then discusses SDR, explaining that it implements components like mixers, filters, and modulators/demodulators through software rather than hardware. Examples of low-cost SDR devices like the RLT-SDR are provided. The document concludes with a demonstration of listening to signals like FM radio, airplanes, and wireless microphones using SDR software and devices.
SDR technology is advancing in several areas. Direct sampling digitizes the entire HF spectrum and allows for unlimited receivers and panadapters. Networking allows operating from anywhere. Speech processing provides power improvements. Future capabilities may include signal classification, advanced noise reduction across antennas, and better integration of remote stations.
This document summarizes Stephen Hicks' presentation on SDR architectures, remote radio, and FlexRadio updates at Ham-Com on June 13, 2015. It discusses the history and definition of software-defined radio, how SDR technologies allow for software control of radio functions. It presents FlexRadio's SDR architecture including direct sampling and their SmartSDR software. It introduces Maestro, a remote control surface for FlexRadio radios, and provides an overview of recent and upcoming SmartSDR software features and priorities like noise blanking and contesting support.
This session combines the high speed analog signal chain from RF to baseband with FPGA-based digital signal processing for wireless communications. Topics include the high speed analog signal chain, direct conversion radio architecture, the high speed data converter interface, and FPGA-based digital signal processing for software-defined radio. Demonstrations use the latest generation Analog Devices’ high speed data converters, RF, and clocking devices, along with the Xilinx Zynq-7000 SoC. Other topics of discussion include the imperfections introduced by the modulator/ demodulator with particular focus on the effect of temperature and frequency changes. In-factory and in-field algorithms that reduce the effect of these imperfections, with particular emphasis on the efficacy of in-factory set-and-forget algorithms, are examined.
Software defined radio (SDR) moves signal processing from analog hardware to digital software. An SDR receiver can consist simply of an antenna connected to an analog-to-digital converter, with all filtering and detection done digitally. Common types of SDR include inexpensive RTL-SDR devices using DVB-T TV tuners and more full-featured commercial SDR that can handle multiple bands and transmit. SDR requires software to function since processing, filtering and control are performed in software. SDR apps allow similar functionality on smartphones that support USB-OTG connections to SDR devices.
Software defined radio (SDR) is a radio communication system where components implemented in hardware, such as mixers and filters, are instead implemented by software. An SDR system uses a microprocessor to map user data to waveforms which are then converted to RF signals and transmitted via antenna. Received signals are sampled, digitized, and processed in real time by a general processor. SDR offers benefits like cost efficiency, flexibility, and avoiding interference, but faces challenges like developing antennas that can dynamically tune across wide bandwidths and sampling speeds fast enough to digitize high frequencies. Applications of SDR include military systems, NASA projects, and future 5G networks.
SDR and cognitive radio technologies will enable more flexible use of radio spectrum and facilitate interoperability between different communication standards. Key drivers include the need for first responder communications during emergencies, the increasing number of wireless standards, and the scarce availability of radio spectrum. SDR allows communication standards and functionality to be reconfigured through software downloads. Future technologies like improved ADCs, DSPs, and cognitive abilities will advance SDR and spectrum sensing capabilities. Both military and commercial applications are expected to benefit from SDR and cognitive radio.
This document discusses software defined radio (SDR) technology. It begins with an overview of radio technology and terms. It then discusses SDR, explaining that it implements components like mixers, filters, and modulators/demodulators through software rather than hardware. Examples of low-cost SDR devices like the RLT-SDR are provided. The document concludes with a demonstration of listening to signals like FM radio, airplanes, and wireless microphones using SDR software and devices.
Software-defined radio (SDR) uses software for signal processing tasks like modulation and demodulation, replacing analog hardware components in traditional radios. SDR allows radios to be more flexible and reconfigurable through software updates. A typical SDR system uses an analog front-end to convert radio signals to digital and a digital signal processor to perform signal processing through software. SDR provides benefits like more customizable radios, lower development costs, and easier upgrades compared to traditional hardware radios.
SCA To Date and Motivation for Change. These slides will discuss why the JTRS Program Executive Office (JPEO) is aggressively procuring Software Defined Radio (SDR) consortium and industry assistance to spearhead a high impact evolution of the Software Communications Architecture (SCA) intended to deliver better radio performance along with a smaller footprint for waveforms and radio software. The webcast audience will learn about innovative SCA change proposal details and identified opportunities for near term radio performance impact with rapid market availability of these new capabilities via highly motivated COTS SDR software and development tool vendors.
This document discusses software defined radio (SDR) and provides an overview of SDR capabilities and demonstrations. It introduces SDR as a radio system where components are implemented via software rather than hardware. The agenda includes discussing radio, antennas, listening to FM radio and aircraft tracking using SDR and open source software. Several SDR devices are listed with costs ranging from $24 to $420. Common antenna types and a basic radio wave equation are also covered.
Hardware Accelerated Software Defined Radio Tarik Kazaz
Advanced 5G wireless infrastructure should support any-to-any connectivity between densely arranged smart objects that form the emerging paradigm known as the Internet of Everything (IoE). While traditional wireless networks enable communication between devices using a single technology, 5G networks will need to support seamless connectivity between heterogeneous wireless objects, and consequently enable the proliferation of IoE networks. To tackle the complexity and versatility of the future IoE networks, 5G has to guarantee optimal usage of both spectrum and energy resources and further support technology-agnostic connectivity between objects. This can be realized by combining intelligent network control with adaptive software-defined air interfaces. In order to achieve this, current radio technology paradigms like Cloud RAN and Software Defined Radio (SDR) utilize centralized baseband signal processing mainly performed in software. With traditional SDR platforms, composed of separate radio and host commodity computer units, computationally-intensive signal processing algorithms and high-throughput connectivity between processing units are hard to realize. In addition, significant power consumption and large form factor may preclude any real-life deployment of such systems. On the other hand, modern hybrid FPGA technology tightly couples a FPGA fabric with hard core CPU on a single chip. This provides opportunities for implementing air interfaces based on hardware/software co-processing, resulting in increased processing throughput, reduced form factor and power consumption, while at the same time preserving flexibility. This paper examines how hybrid FPGAs can be combined with novel ideas such as RF Network-on-Chip (RFNoC) and partial reconfiguration, to form a flexible and compact platform for implementing low-power adaptive air interfaces. The proposed platform merges software and hardware processing units of SDR systems on a single chip. Therefore, it can provide interfaces for on-the-fly composition and reconfiguration of software and hardware radio modules. The resulting system enables the abstraction of air interfaces, where each access technology is composed of a structured sequence of modular radio processing units.
This document discusses software defined radio (SDR) and various low-cost SDR devices that can be used for experimenting with radio signals, including RTL-SDR USB dongles, HackRF, NooElec SDR sticks, and FUNcube Dongles. It provides information on software like GNU Radio, Gqrx, rtl-sdr library, ViewRF, and OpenBTS for processing radio signals on devices like the BeagleBone Black.
Introduction to Software Defined Radio (SDR)Pamela O'Shea
For less than $20 anyone can listen to the airwaves! In this workshop, we will look at what is around us in the airwaves, including frequency scanning, pagers, airplanes, remote controls and more. Please see associated worksheet for the exercises.
Software defined radios (SDR) use software to control radio functions like filtering, frequency coverage, and modulation modes. This flexibility allows SDRs to change how they operate through software updates rather than hardware changes. Key benefits are low cost since most functions are done in software, and versatility to support different communication standards worldwide. The goal of SDR is to have a single transceiver that can work as different devices like phones or radios through software reconfiguration alone. Hobbyists can use inexpensive SDRs and decoding software to track ships by receiving automatic identification system signals.
Software defined radio uses software to control radio functions like modulation and demodulation rather than using dedicated hardware components. It allows a software radio to function as different types of radios through software changes alone. This reduces costs compared to hardware radios and makes radios more flexible and upgradable. Software defined radios achieve this by sampling radio signals digitally and performing signal processing using software on a general purpose processor or computer rather than dedicated circuits.
Abhinav End Sem Presentation Software Defined Radioguestad4734
The document discusses the development of a wideband RF front end for software defined radios covering 400MHz to 3.4GHz. It describes the ideal SDR architecture, existing SDR implementations, and the objectives of developing a single wideband RF front end. The work done so far includes studying receiver architectures, designing a frequency synthesizer board, modeling amplifiers and mixers, and outlining future work on partitioning the frequency band and implementing filters and switches.
Es'hail 2 / QO-100 is a geostationary satellite carrying amateur radio transponders that was launched in November 2018. It provides the first amateur radio communication capability from Brazil to Thailand using two transponders - a 250 kHz linear transponder for conventional analogue operations and an 8 MHz transponder primarily for DVB amateur television. The presentation discusses receiving signals from the satellite using various hardware and software, as well as transmitting to it. It also includes a quiz about the satellite.
Radiojitter Concepts Lab is an Indian product development company focused on LoRa-based solutions for smart cities. They provide consultancy services for LoRaWAN gateway deployment. The trainer, Priyasloka, has 19+ years of experience in engineering and management roles in defense and aerospace. The training covers topics like NOAA weather satellite reception, AIS reception, software defined radio with GNU Radio and MATLAB, and amateur radio protocols on a Raspberry Pi with an RTL-SDR device. Setup and configuration of various open source SDR software like GQRX and specific projects involving ADS-B reception and WSPR transmission will also be demonstrated.
This document summarizes a workshop on software defined radio held by the Bangalore Amateur Radio Club on July 9th, 2017. It provides information on different software defined radio hardware options such as HackRF One, Ettus B200, BladeRF, and RTL-SDR. It discusses SDR software for Windows, MAC, Linux and Android devices. It also gives examples of using SDRs for applications like receiving AM/FM radio, decoding digital signals, receiving GPS and weather satellite data, and acting as a spectrum analyzer. Diagrams provide explanations of direct down conversion receivers and examples of decoding ADS-B signals from aircraft and building AM/FM receivers with an SDR and VFO.
Design and implementation of sdr based qpsk transceiver using fpgaTarik Kazaz
Software-defined radio (SDR) technology enables
implementation of wireless devices that support multiple air interfaces and modulation formats, which is very important
if consider the proliferation of wireless standards. To enable such functionality SDR is using reconfigurable hardware platform such as Field Programmable Gate Array (FPGA). In this paper, we present design procedure and implementation result of SDR based QPSK modulator on Altera Cyclone IV FPGA. For design and implementation of QPSK modulator we used Altera DSP
Builder Tool combined with Matlab/Simulink, Modelsim and
Quartus II design tools. As reconfigurable hardware platform
we used Altera DE2-115 development and education board with
AD/DA daughter card. Software and Hardware-in-the-loop (HIL)
simulation was conducted before hardware implementation and
verification of designed system. This method of design makes
implementation of SDR based modulators simpler ad faster.
Index Terms—SDR, FPGA, QPSK, DSP Builder, NCO, RRC
This document discusses the implementation of 4PSK modulation and demodulation for software defined radio using an FPGA. It begins by explaining what software defined radio is and how it differs from traditional hardware radios by implementing signal processing in software. The document then discusses the issues with traditional radios and how SDR provides a more flexible solution. It aims to develop and deploy a 4PSK waveform on an FPGA for an SDR platform and evaluate performance using BER, eye diagrams and constellation diagrams. The future scope of using SDR for both defense and commercial applications is also mentioned.
This document provides an overview of software-defined radio (SDR), including its definition, history, advantages, technical overview, and architecture. SDR is defined as a radio system where components typically implemented in hardware, such as mixers and filters, are instead implemented through software. The term was coined in 1991, with an early military project in 1992. SDR provides advantages like complete digital baseband processing and faster software prototyping. Its technical overview describes ideal SDR components and practical implementations using digital signal processing and field-programmable gate arrays.
This document discusses software defined radio (SDR) technology. SDR uses software modules running on generic hardware like DSPs and microprocessors to implement radio functions rather than using dedicated hardware components. This allows radios to have their functionality redefined or upgraded through changes to its software. The document outlines the architecture of SDR systems and provides examples of SDR applications in areas like public safety, military uses, and commercial devices. It also discusses benefits such as flexibility and interoperability as well as challenges related to hardware limitations and software complexity. The future scope of SDR is seen to include adaptive radios and cognitive radios that can dynamically change their transmission behavior.
Software Defined Radio Engineering course samplerJim Jenkins
This 3-day course is designed for digital signal processing engineers, RF system engineers, and managers who wish to enhance their understanding of this rapidly emerging technology. Most topics include carefully described design analysis, alternative approaches, performance analysis, and references to published research results. Many topics are illustrated by Matlab simulation demos. An extensive bibliography is included.
Universal software defined radio development platformBertalan EGED
Award winning presentation at a NATO RTO IST symposium in 2006 on Universal Software Defined Radio (SDR) Development Platform and its use for prototyping radar system and spectrum monitoring receiver. Till this time I made several presentations on the topic, but this is the original version from 2006.
A Glimpse into Developing Software-Defined Radio by PythonAlbert Huang
Software-defined radio~(SDR) has been emerging for many years in
various fields, including military, commercial communication
systems, and scientific research, e.g. space exploration. GNU Radio
is an open source SDR framework written in Python. This talk will introduce from basic concept of software-defined radio and various
front-end hardware, and then illustrate how to use Python to develop
SDR.
The document provides an introduction to GNU Radio, including:
1. GNU Radio is an open source software toolkit for building software defined radios and signal processing systems. It works with low-cost hardware like the USRP to allow processing of waveforms in software.
2. The GNU Radio architecture includes the USRP hardware which handles analog-digital conversion and the FPGA, and a software architecture built on signal processing blocks that can be connected graphically.
3. Programming GNU Radio involves tasks like creating a "Hello World" program and building an FM radio receiver by connecting different signal processing blocks in software.
The document discusses how MATLAB and NI tools can be used together to optimize wireless system design processes. It describes how they allow designing, analyzing, and testing of wireless standards, applying AI techniques to wireless applications, jointly optimizing digital, RF, and antenna components, implementing designs on hardware, simulating radar applications, and providing hands-on learning resources. Specific examples discussed include 5G design at Qualcomm, linearization algorithm development at NanoSemi, and teaching wireless communications with USRPs.
Dewesoft is designing and manufacturing versatile and easy-to-use data acquisition systems. The products are the ultimate tools for every test and measurement engineer. The presentation includes a general catalog of Dewesoft products and applications.
Software-defined radio (SDR) uses software for signal processing tasks like modulation and demodulation, replacing analog hardware components in traditional radios. SDR allows radios to be more flexible and reconfigurable through software updates. A typical SDR system uses an analog front-end to convert radio signals to digital and a digital signal processor to perform signal processing through software. SDR provides benefits like more customizable radios, lower development costs, and easier upgrades compared to traditional hardware radios.
SCA To Date and Motivation for Change. These slides will discuss why the JTRS Program Executive Office (JPEO) is aggressively procuring Software Defined Radio (SDR) consortium and industry assistance to spearhead a high impact evolution of the Software Communications Architecture (SCA) intended to deliver better radio performance along with a smaller footprint for waveforms and radio software. The webcast audience will learn about innovative SCA change proposal details and identified opportunities for near term radio performance impact with rapid market availability of these new capabilities via highly motivated COTS SDR software and development tool vendors.
This document discusses software defined radio (SDR) and provides an overview of SDR capabilities and demonstrations. It introduces SDR as a radio system where components are implemented via software rather than hardware. The agenda includes discussing radio, antennas, listening to FM radio and aircraft tracking using SDR and open source software. Several SDR devices are listed with costs ranging from $24 to $420. Common antenna types and a basic radio wave equation are also covered.
Hardware Accelerated Software Defined Radio Tarik Kazaz
Advanced 5G wireless infrastructure should support any-to-any connectivity between densely arranged smart objects that form the emerging paradigm known as the Internet of Everything (IoE). While traditional wireless networks enable communication between devices using a single technology, 5G networks will need to support seamless connectivity between heterogeneous wireless objects, and consequently enable the proliferation of IoE networks. To tackle the complexity and versatility of the future IoE networks, 5G has to guarantee optimal usage of both spectrum and energy resources and further support technology-agnostic connectivity between objects. This can be realized by combining intelligent network control with adaptive software-defined air interfaces. In order to achieve this, current radio technology paradigms like Cloud RAN and Software Defined Radio (SDR) utilize centralized baseband signal processing mainly performed in software. With traditional SDR platforms, composed of separate radio and host commodity computer units, computationally-intensive signal processing algorithms and high-throughput connectivity between processing units are hard to realize. In addition, significant power consumption and large form factor may preclude any real-life deployment of such systems. On the other hand, modern hybrid FPGA technology tightly couples a FPGA fabric with hard core CPU on a single chip. This provides opportunities for implementing air interfaces based on hardware/software co-processing, resulting in increased processing throughput, reduced form factor and power consumption, while at the same time preserving flexibility. This paper examines how hybrid FPGAs can be combined with novel ideas such as RF Network-on-Chip (RFNoC) and partial reconfiguration, to form a flexible and compact platform for implementing low-power adaptive air interfaces. The proposed platform merges software and hardware processing units of SDR systems on a single chip. Therefore, it can provide interfaces for on-the-fly composition and reconfiguration of software and hardware radio modules. The resulting system enables the abstraction of air interfaces, where each access technology is composed of a structured sequence of modular radio processing units.
This document discusses software defined radio (SDR) and various low-cost SDR devices that can be used for experimenting with radio signals, including RTL-SDR USB dongles, HackRF, NooElec SDR sticks, and FUNcube Dongles. It provides information on software like GNU Radio, Gqrx, rtl-sdr library, ViewRF, and OpenBTS for processing radio signals on devices like the BeagleBone Black.
Introduction to Software Defined Radio (SDR)Pamela O'Shea
For less than $20 anyone can listen to the airwaves! In this workshop, we will look at what is around us in the airwaves, including frequency scanning, pagers, airplanes, remote controls and more. Please see associated worksheet for the exercises.
Software defined radios (SDR) use software to control radio functions like filtering, frequency coverage, and modulation modes. This flexibility allows SDRs to change how they operate through software updates rather than hardware changes. Key benefits are low cost since most functions are done in software, and versatility to support different communication standards worldwide. The goal of SDR is to have a single transceiver that can work as different devices like phones or radios through software reconfiguration alone. Hobbyists can use inexpensive SDRs and decoding software to track ships by receiving automatic identification system signals.
Software defined radio uses software to control radio functions like modulation and demodulation rather than using dedicated hardware components. It allows a software radio to function as different types of radios through software changes alone. This reduces costs compared to hardware radios and makes radios more flexible and upgradable. Software defined radios achieve this by sampling radio signals digitally and performing signal processing using software on a general purpose processor or computer rather than dedicated circuits.
Abhinav End Sem Presentation Software Defined Radioguestad4734
The document discusses the development of a wideband RF front end for software defined radios covering 400MHz to 3.4GHz. It describes the ideal SDR architecture, existing SDR implementations, and the objectives of developing a single wideband RF front end. The work done so far includes studying receiver architectures, designing a frequency synthesizer board, modeling amplifiers and mixers, and outlining future work on partitioning the frequency band and implementing filters and switches.
Es'hail 2 / QO-100 is a geostationary satellite carrying amateur radio transponders that was launched in November 2018. It provides the first amateur radio communication capability from Brazil to Thailand using two transponders - a 250 kHz linear transponder for conventional analogue operations and an 8 MHz transponder primarily for DVB amateur television. The presentation discusses receiving signals from the satellite using various hardware and software, as well as transmitting to it. It also includes a quiz about the satellite.
Radiojitter Concepts Lab is an Indian product development company focused on LoRa-based solutions for smart cities. They provide consultancy services for LoRaWAN gateway deployment. The trainer, Priyasloka, has 19+ years of experience in engineering and management roles in defense and aerospace. The training covers topics like NOAA weather satellite reception, AIS reception, software defined radio with GNU Radio and MATLAB, and amateur radio protocols on a Raspberry Pi with an RTL-SDR device. Setup and configuration of various open source SDR software like GQRX and specific projects involving ADS-B reception and WSPR transmission will also be demonstrated.
This document summarizes a workshop on software defined radio held by the Bangalore Amateur Radio Club on July 9th, 2017. It provides information on different software defined radio hardware options such as HackRF One, Ettus B200, BladeRF, and RTL-SDR. It discusses SDR software for Windows, MAC, Linux and Android devices. It also gives examples of using SDRs for applications like receiving AM/FM radio, decoding digital signals, receiving GPS and weather satellite data, and acting as a spectrum analyzer. Diagrams provide explanations of direct down conversion receivers and examples of decoding ADS-B signals from aircraft and building AM/FM receivers with an SDR and VFO.
Design and implementation of sdr based qpsk transceiver using fpgaTarik Kazaz
Software-defined radio (SDR) technology enables
implementation of wireless devices that support multiple air interfaces and modulation formats, which is very important
if consider the proliferation of wireless standards. To enable such functionality SDR is using reconfigurable hardware platform such as Field Programmable Gate Array (FPGA). In this paper, we present design procedure and implementation result of SDR based QPSK modulator on Altera Cyclone IV FPGA. For design and implementation of QPSK modulator we used Altera DSP
Builder Tool combined with Matlab/Simulink, Modelsim and
Quartus II design tools. As reconfigurable hardware platform
we used Altera DE2-115 development and education board with
AD/DA daughter card. Software and Hardware-in-the-loop (HIL)
simulation was conducted before hardware implementation and
verification of designed system. This method of design makes
implementation of SDR based modulators simpler ad faster.
Index Terms—SDR, FPGA, QPSK, DSP Builder, NCO, RRC
This document discusses the implementation of 4PSK modulation and demodulation for software defined radio using an FPGA. It begins by explaining what software defined radio is and how it differs from traditional hardware radios by implementing signal processing in software. The document then discusses the issues with traditional radios and how SDR provides a more flexible solution. It aims to develop and deploy a 4PSK waveform on an FPGA for an SDR platform and evaluate performance using BER, eye diagrams and constellation diagrams. The future scope of using SDR for both defense and commercial applications is also mentioned.
This document provides an overview of software-defined radio (SDR), including its definition, history, advantages, technical overview, and architecture. SDR is defined as a radio system where components typically implemented in hardware, such as mixers and filters, are instead implemented through software. The term was coined in 1991, with an early military project in 1992. SDR provides advantages like complete digital baseband processing and faster software prototyping. Its technical overview describes ideal SDR components and practical implementations using digital signal processing and field-programmable gate arrays.
This document discusses software defined radio (SDR) technology. SDR uses software modules running on generic hardware like DSPs and microprocessors to implement radio functions rather than using dedicated hardware components. This allows radios to have their functionality redefined or upgraded through changes to its software. The document outlines the architecture of SDR systems and provides examples of SDR applications in areas like public safety, military uses, and commercial devices. It also discusses benefits such as flexibility and interoperability as well as challenges related to hardware limitations and software complexity. The future scope of SDR is seen to include adaptive radios and cognitive radios that can dynamically change their transmission behavior.
Software Defined Radio Engineering course samplerJim Jenkins
This 3-day course is designed for digital signal processing engineers, RF system engineers, and managers who wish to enhance their understanding of this rapidly emerging technology. Most topics include carefully described design analysis, alternative approaches, performance analysis, and references to published research results. Many topics are illustrated by Matlab simulation demos. An extensive bibliography is included.
Universal software defined radio development platformBertalan EGED
Award winning presentation at a NATO RTO IST symposium in 2006 on Universal Software Defined Radio (SDR) Development Platform and its use for prototyping radar system and spectrum monitoring receiver. Till this time I made several presentations on the topic, but this is the original version from 2006.
A Glimpse into Developing Software-Defined Radio by PythonAlbert Huang
Software-defined radio~(SDR) has been emerging for many years in
various fields, including military, commercial communication
systems, and scientific research, e.g. space exploration. GNU Radio
is an open source SDR framework written in Python. This talk will introduce from basic concept of software-defined radio and various
front-end hardware, and then illustrate how to use Python to develop
SDR.
The document provides an introduction to GNU Radio, including:
1. GNU Radio is an open source software toolkit for building software defined radios and signal processing systems. It works with low-cost hardware like the USRP to allow processing of waveforms in software.
2. The GNU Radio architecture includes the USRP hardware which handles analog-digital conversion and the FPGA, and a software architecture built on signal processing blocks that can be connected graphically.
3. Programming GNU Radio involves tasks like creating a "Hello World" program and building an FM radio receiver by connecting different signal processing blocks in software.
The document discusses how MATLAB and NI tools can be used together to optimize wireless system design processes. It describes how they allow designing, analyzing, and testing of wireless standards, applying AI techniques to wireless applications, jointly optimizing digital, RF, and antenna components, implementing designs on hardware, simulating radar applications, and providing hands-on learning resources. Specific examples discussed include 5G design at Qualcomm, linearization algorithm development at NanoSemi, and teaching wireless communications with USRPs.
Dewesoft is designing and manufacturing versatile and easy-to-use data acquisition systems. The products are the ultimate tools for every test and measurement engineer. The presentation includes a general catalog of Dewesoft products and applications.
Optimizing your client's wi fi experienceCisco Canada
The document provides an agenda for optimizing a client's Wi-Fi experience, beginning with optimizing layers 1 and 2. It discusses fundamentals like signal power and the inverse square law. It emphasizes keeping packet error rates low for voice calls. Tools like Cisco Prime Maps and WLC Config Analyzer can help validate that neighbor relations, channel assignments, transmit power levels and client SNR distributions are optimized. The goal is to keep most clients above a 25 dB SNR for high data rates.
This document provides an overview of Sigfox and its global low power wide area network (LPWA) for connecting Internet of Things devices. Some key points:
- Sigfox offers a network that transports small amounts of data from connected devices to customer IT systems and applications partners using ultra narrow band radio technology.
- The network supports small 12-byte uplink and 8-byte downlink payloads at low frequencies (e.g. 868MHz in Europe) with very low power consumption allowing battery lifetimes of years.
- It has global coverage across 60+ countries by 2018 and can connect over a million devices per base station per day.
- Sigfox works with various module, chip and
MULTI-STATE OR RECONFIGURABLE RADIO SOLUTIONSddslideshare99
How are radio chipsets developed to handle multiple modes?
Can a chipset be configured to handle two modes in the same band (such as WiFi and Bluetooth)?
What's the state of the art in reconfigurable radios?
What is a reasonable implementation of reconfigurable radios with the scenarios expected by operators? If multiple radios are operating simultaneously, how would reconfigurability help to save size, cost, and performance in the silicon?
Optimizing your client's wi fi experience Cisco Canada
The document discusses optimizing a client's Wi-Fi experience and includes an agenda covering: optimizing layers 1 and 2, innovations for improved client experience, what is possible in non-Apple environments, and new technologies. It then provides details on optimizing layer 2, including ensuring proper fundamentals like RF design, signal power levels, and channel utilization. Tools for validating that radio resource management (RRM) is working properly are also discussed, like viewing channel and power distributions and client RSSI/SNR levels in Prime Maps and WLC Config Analyzer.
Acoustic doppler current profiler (adcp)webadminjk
The most accurate and reliable Real-Time Monitoring Systems in the world base their Data Collection Platforms on Sutron’s Xpert Datalogger Series. With custom RDI drivers, they’re designed precisely to handle any Real-Time
ADCP Application. And, they’re manufactured in the USA
to strict ISO 9001
standards.
Acquired analog signals can be manipulated and processed by either the analog or digital portions of a system, for example, through filtering, multiplexing, and gain control. The analog portions of a system can typically provide reasonably simple processing at fairly low cost, power, and overhead. Digital processing can provide far greater analysis power and can alter the nature of the analysis without changing hardware. Sampling theory, however, must be taken into account. This session covers the signal chain basics from signal to sensor to amplifier to converter to digital processor and back out again.
This document provides an overview of software-defined radio (SDR) technology. It defines SDR as a radio system where components are implemented via software rather than hardware. The document discusses the ideal SDR and transmitter/receiver models and explains practical implementations using components like analog-to-digital converters and digital signal processors. It also outlines the software and architectures used in SDR, including applications in public safety and military, as well as advantages like reconfigurability and easier upgrades. Some challenges like complexity and reliability issues are also noted.
Cisco Unified Wireless Network and Converged access – Design sessionCisco Russia
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This is why our Campaign Committee, Donald J. Trump for President, Inc., is still here.
We will provide a beacon for this historic Movement as our lights continue to shine brightly for you - the hardworking patriots who have paid the price for our freedom. While Washington flourished, our American jobs were shipped overseas, our families struggled, and our factories closed - that all ended on January 20, 2017.
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2. SDR Architectures, Remote
Radio and FlexRadio Update
Huntsville Hamfest: August 15, 2015
Stephen Hicks, N5AC
VP Engineering, FlexRadio Systems
3. SDR, Remote HF, FlexRadio
Agenda
What is an SDR?
History of Amateur SDR
Technologies that make an SDR
Remote HF and Maestro
FlexRadio Update
Other presentations today
11. Engineering Design Process
Does the circuit match the simulation exactly?
NO … WHY?
Components are not “ideal”
There are losses not modeled
Component variance
Component capabilities
Result: Never as good as the simulation
12. Can’t we account for
component differences?
In some cases, YES
Some materials work better in some cases
Compensating circuits can be added
In some cases, NO
There will always be issues
16. Block Diagram Key
Yellow blocks are
Green blocks are DIGITAL
ANALOG
123
346
767
1134
001
1010
1011
110
010
455
913
21
2394
23
17. Filter Design: Simulation
Sampled signals passed through simulated ideal
components
Results could even be played out a speaker
123
346
767
1134
1582
1204
895
431
208
150
300
600
1200
1500
1200
600
300
150
FILTER
SIMULATION
DAC
18. Filter Design: Simulation Limits
Analog: 20-30 poles
Digital: unlimited … except for latency.
Maybe 200, 1000, more!
Could a computer run the simulation IN THE RADIO?
ADC DAC
FILTER
SIMULATION
19. Presto: Software in the Radio
LO
DEMOD
FILTER IF AMP
AUDIO AMP
MIXER
FILTER
Is this an SDR?
ADC DAC
20. DEFINITIONS:
Software Defined vs. Controlled
CONTROLLED
Computer Control of Fixed Capabilities
(frequency, band, etc)
DEFINED
Modulation, Demodulation, filtering, and processing; as
well as Control Capabilities Software Defined and
Upgradeable
27. Economics 101
What is the marginal cost of a 2nd receiver
in an analog radio?
ANSWER: the cost of the added parts (plus
amortized engineering)
28. What if I want 2 RX?
LO
DEMOD
FILTER IF AMP
AUDIO AMP
MIXER
FILTER
2x analog components ≈ $2x
ADC
DAC
DEMODADC
FILTER
29. What are we trying to achieve?
Remove distortion
Better performance
Flexibility to change or add features
Ability to tailor the radio quickly
Never before possible noise mitigation
Never before possible capabilities
Can we do more?
35. 4Gbps is…
40 - 100Mbps cables
4 - 1Gbps cables
That’s a LOT of data!
The most modern home networking you can buy, can’t handle this …
36. Economics 101
What is the marginal cost of a 2nd receiver
in an digital radio (SDR)?
ANSWER: the cost of the extra processing power
(plus amortized engineering) … think Moore’s law
Processing Power = FPGA
39. Direct Sampling Benefits
+ Distortion minimized (ADC @ antenna): best signal clarity
+ n-Receivers, n-Panadapters and varying widths
see more bands, more receivers
+ Extremely high dynamic range: operate in worst
conditions
+ Extreme flexibility through reprogrammability (ultimate
SDR): future benefits
– Technically challenging to design
41. F A T
“Our Choices Determine Our Destiny”
— A.R. Benard
Shortcut to the finish line:
Direct Sampling
Receiver A
PowerSDR
et. al.
Rapidly bring up a direct sampling receiver
Each 192kHz receiver uses 10+ Mbps
A full 1MHz of bandwidth panadapter: 73 Mbps
Not scalable
42. “Our Choices Determine Our Destiny”
— A.R. Benard
Building for the future:
FLEX-6000 SmartSDR
New software, much more work in the radio
A full-screen panadapter: <1 Mbps AT ANY WIDTH
Scalable, Remotable
53. GLASS
Project
❑ GLASS
Project
▪Global
AIS
on
Space
Station
(GLASS)
is
a
collaborative
applied
research
and
development
project
to
assess
the
practical
value
of
AIS
data
collected
on
the
International
Space
Station
(ISS)
for
maritime
operations
and
worldwide
MDA
❑ Majority
funded
by
CASIS,
an
organization
selected
by
NASA
to
maximize
use
of
the
ISS
U.S.
National
Laboratory
▪Two-‐year
initiative
beginning
September
2014
▪CASIS
contribution
of
more
than
$500,000
▪All
participants
making
significant
in-‐kind
contributions
53
54. Rationale
❑ Nearly
all
commercial
ships
are
tracked
using
Automatic
Identification
System
(AIS)
❑ AIS
receivers
are
typically
limited
to
line-‐of-‐site
signal
reception
❑ GLASS
to
acquire
world-‐wide,
real-‐time
AIS
data
from
ISS
❑ ISS
ideally
suited
to
maximize
reception
of
AIS
signals
and
offers
opportunities
for
upgrades
and
maintenance
by
on-‐board
crew
❑ Better
information
will
enhance
commercial
business,
improve
national
security,
protect
the
environment,
and
provide
economic
and
societal
benefits
54
55. Team
&
Roles55
4
❑ JAMSS
America,
Inc.
–
principal
investigator
and
project
integrator
❑ University
of
Hawaii
–
co-‐investigator,
maritime
researcher
and
GLASS
operational
evaluator
❑ Greater
Houston
Port
Bureau
–
co-‐
investigator,
maritime
consultant
and
GLASS
operational
evaluator
❑ Mare
Liberum
Consulting,
L.P.
–
co-‐
investigator,
data
systems
and
AIS
signal
processing/analysis
❑ Flexitech,
LLC
–
consultant,
aerospace
radio
communications
technologies
❑ VPI
Engineering,
FlexRadio
Systems
&
Flexitech,
LLC
–
developers,
GLASS
space
segment
system
57. Project
Overview
57
GLASS
Data
GLASS
Servers
•Client
Services
•Health
&
Status
•Secure
Data
Archive
User
Assessments
&
Feedback
NASA
Ground
Network
•Raw
Data
•Processed
Information
Equipment
on
the
ISS
consists
of
redundant
SDR
(software
defined
radio)
receivers
to
process
incoming
AIS
signals,
packetize
them
and
forward
the
packets
to
the
TDRSS
for
downlink
to
the
ground.
TDRSS
ISS
ISS
–
International
Space
Station
TDRSS
–
Tracking
and
Data
Relay
Satellite
System
Users
(Evaluators)
60. Schedule
❑ Grant
awarded
(September
2014)
❑ Hardware/software
development
(initiated
October
2014)
❑ Equipment
launched
to
ISS
and
readied
for
operation
(late
2015)
❑ System
operation
and
data
collection
(12-‐month
duration)
❑ Final
assessment
and
report
❑ Project
completion
(late
2016)
❑ Commercial
business
initiation
(2017)
60
6
61. Anticipated
Value
❑ Enhanced
global
competitiveness
❑ Adaptation
to
supply
chain
disruptions
❑ Improved
protection
of
U.S.
Exclusive
Economic
Zones
❑ Decreased
environmental
impacts
❑ Increased
environmental
protection
❑ Decreased
illegal
activities
❑ Expedited
emergency
response
❑ Enhanced
education
and
training
❑ Data
mining
for
societal
benefit
61
7
“Better
information
will
enhance
commercial
business,
improve
national
security,
protect
the
environment,
and
provide
economic
and
societal
benefits.”
62. Waveform API
Examples: CODEC2, D-STAR, System Fusion, PSK31,
RTTY, CODEC2, WSJT, etc.
Open Source Wrapper
Enable development of waveforms on PC
Could remain on PC or moved inside radio
Inside radio runs as a separate process
alleviating open source issues
63. Voice Mode (voice ↔ IQ)
RX
DEMOD
24ksps IQ in, audio out (RX stream)
TX
MOD
audio in, 24ksps IQ out (TX stream)
TX
CTRL
Transmit Control
Registration Mode and services registration
IQ
AUDIO
AUDIO
IQ
64. Digital Modes (data ↔ IQ)
RX
DEMOD
24ksps IQ in/text out (RX stream)
TX
MOD
text in/24ksps IQ out (TX stream)
TX
CTRL
Transmit Control
Registration Mode and services registration
DATA
DATA
IQ
IQ
65. SmartSDR
Introducing D-STAR Capability
For all FLEX-6000s
Both HF and VHF (6700)
via ThumbDV device
Open Source
Expandable
With FLEX-6000 transverter
access, can be used on
ANY band
D-STAR
74. Provides SO2R
capability to all FLEX
Signature Series
Transceivers
Contest filters
Antenna switching for
SO2R
“SO2R Box”
Early 2016
75. Cuts the cost of SO2R
contesting in HALF
Eliminate all the
complexities
Simplifies operations and
station construction
Simplifies station
reconfiguration
“SO2R Box”
Early 2016