The document discusses software defined radar technology and its implementation levels. It describes how analog front-end processing, domain conversion, and digital signal processing can all be implemented through software. Different hardware platforms like FPGAs, DSPs and GPPs are discussed for digital signal processing. Future trends like opto-electric devices and high-temperature superconductors may impact software defined radio technology. The document concludes that radar systems will increasingly follow the trend of software defined radio technology.
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.
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.
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.
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.
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
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.
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.
SDR Training with HackRF - Tonex TrainingBryan Len
Length: 3 Days
SDR Training with HackRF, Advanced Software Defined Radio Training is a 3-day hands-on advanced SDR training course, Software-Defined Radio Development with GNU Radio utilizing HackRF One. The 3-day advanced SDR covers both hypothesis and application of SDR utilizing HackRF One.
.
SDR Training with HackRF. Advanced Software Defined Radio Training.
Participants will learn about:
Software Defined Radio and Digital Signal Processing
Theory and practice with hands-on SDR implementations using the Universal Software Radio Peripheral (USRP) SDR platforms
Necessary SDR signal processing building blocks, SDR application development using Python and C++ concepts required for GNU Radio development
How to apply HackRF and GNU Radio
How to use and apply GNU Radio Companion (GRC)
Security applications of SDR and RF Vulnerabilities
Course Agenda
Principles of Signal processing and applied RF
Overview of SDR
Overview of GNU Radio
Overview of GNU Radio software libraries
Overview of GNU Radio Companion (GRC)
Overview of Python and C++
Overview of Linux
Overview of Universal software radio peripherals
SDR and GNU Radio modules
Systems using HackRF One
Assessments of physical RF devices
How to Fingerprint on RF spectrum?
Hunting signals
Hardware Hacking 101
Reversing and Instrumentation (embedded RF systems)
IoT Hacking with SDR
Overview of Wi-Fi and Bluetooth
Open source SDR LTE software / FM Radio
Principles of Radar detector
Principles of Remote Controlled Cars
SDR Offensive Security
Request more information regarding SDR Training with HackRF. Visit tonex.com for course and workshop detail.
SDR Training with HackRF - Tonex Training
https://www.tonex.com/training-courses/sdr-training-with-hackrf-advanced-software-defined-radio-training/
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.
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 Radio (SDR) By Deepak Lodha DEEPAK LODHA
▶ Why SDR ?
▶ Evaluation of SDR technology
▶ Application or Uses
▶ Basic diagram/component of SDR
▶ SDR software as well as Android application
▶ A practical view with SDR Set-Top Box( Receiver )
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
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.
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.
SDR Training with HackRF - Tonex TrainingBryan Len
Length: 3 Days
SDR Training with HackRF, Advanced Software Defined Radio Training is a 3-day hands-on advanced SDR training course, Software-Defined Radio Development with GNU Radio utilizing HackRF One. The 3-day advanced SDR covers both hypothesis and application of SDR utilizing HackRF One.
.
SDR Training with HackRF. Advanced Software Defined Radio Training.
Participants will learn about:
Software Defined Radio and Digital Signal Processing
Theory and practice with hands-on SDR implementations using the Universal Software Radio Peripheral (USRP) SDR platforms
Necessary SDR signal processing building blocks, SDR application development using Python and C++ concepts required for GNU Radio development
How to apply HackRF and GNU Radio
How to use and apply GNU Radio Companion (GRC)
Security applications of SDR and RF Vulnerabilities
Course Agenda
Principles of Signal processing and applied RF
Overview of SDR
Overview of GNU Radio
Overview of GNU Radio software libraries
Overview of GNU Radio Companion (GRC)
Overview of Python and C++
Overview of Linux
Overview of Universal software radio peripherals
SDR and GNU Radio modules
Systems using HackRF One
Assessments of physical RF devices
How to Fingerprint on RF spectrum?
Hunting signals
Hardware Hacking 101
Reversing and Instrumentation (embedded RF systems)
IoT Hacking with SDR
Overview of Wi-Fi and Bluetooth
Open source SDR LTE software / FM Radio
Principles of Radar detector
Principles of Remote Controlled Cars
SDR Offensive Security
Request more information regarding SDR Training with HackRF. Visit tonex.com for course and workshop detail.
SDR Training with HackRF - Tonex Training
https://www.tonex.com/training-courses/sdr-training-with-hackrf-advanced-software-defined-radio-training/
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.
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 Radio (SDR) By Deepak Lodha DEEPAK LODHA
▶ Why SDR ?
▶ Evaluation of SDR technology
▶ Application or Uses
▶ Basic diagram/component of SDR
▶ SDR software as well as Android application
▶ A practical view with SDR Set-Top Box( Receiver )
Discussion of some of the predicted advances in the coming years in software defined radio (SDR) in the amateur radio market. Also are some insights in how radios are designed.
Introduction to Software Defined Radio (SDR) on LinuxPamela O'Shea
An introduction to software defined radio on Linux by Pamela O'Shea. Presented March 31st 2016 at Cyberspectrum Melbourne.
http://www.meetup.com/Cyberspectrum-Melbourne/ @pamoshea
@sdr_melbourne
Software defined radio technology : ITB research activitiesDr.Joko Suryana
A.Introduction
1.From 1G to 5G
2.5G, from Device to Data Center
B.Programmable Networks
1.Software Defined Radio Technology
2.From Software-Defined Radio to Software-Defined Networking
3.Project Example : Princeton Univ : Software-Defined Cellular Core networks and New York Univ USA : SDN-controlled LTE using SDR
C.SDR Projects at LTRGM ITB
1.SDR for 5G Physical Layer Design
2.SDR for AESA Radar Receiver
3.SDR for Nanosatellite Ground Station
4.SDR for Communication and Identification for IFX
Webinar: BlueNRG-LP - Bluetooth 5.2 de longo alcance para aplicações industriaisEmbarcados
O BlueNRG-LP é uma solução de SoC sem fio Bluetooth® Low Energy programável de ultrabaixa energia. Ele incorpora os IPs de rádio RF de 2,4 GHz de última geração da STMicroelectronics combinando desempenho incomparável com vida útil de bateria extremamente longa. É compatível com a especificação de núcleo Bluetooth® Low Energy SIG versão 5.2 endereçando conectividade ponto a ponto e rede Bluetooth Mesh e permite que redes de dispositivos em grande escala sejam estabelecidas de maneira confiável. O BlueNRG-LP também é adequado para comunicação sem fio de rádio proprietária de 2,4 GHz para lidar com aplicações de latência ultrabaixa.
Assista a gravação em: https://www.embarcados.com.br/webinars/webinar-bluenrg-lp-bluetooth-5-2-de-longo-alcance-para-aplicacoes-industriais/
A LOW-COST DESKTOP SOFTWARE DEFINED RADIO DESIGN ENVIRONMENT USING MATLAB, SI...Omid Abolghasemi
A LOW-COST DESKTOP SOFTWARE DEFINED
RADIO DESIGN ENVIRONMENT USING
MATLAB, SIMULINK, AND THE RTL -SDR
Example Design Of Receive Side Of Garage Remote Control For Reply Attack
Digilogic’s Telemetry receiver design is highly flexible and provides comprehensive link support for satellite and flight test ground station applications in a fully integrated package. Our telemetry receiver design features FPGA based signal processing and software defined radio technology in the form of digital telemetry receivers, waveform & signal processors.
A variety of configurations (Single, Dual) and waveforms (AM, FM, PM, BPSK, QPSK & SOQPSK) are available with standard data rates from 40 Mbps down to 100 kbps. It also supports Automatic Gain Control, AM Tracking, Diversity Combining, Equalization, Demodulation of PCM-FM & SOQPSK-TG, Bit Synchronization, Frame Synchronization, LDPC and Convolutional Decoding, and Telemetry Over IP (TMoIP) as per IRIG Standard.
This project is basically on software defined radio which was published by microsoft asia team which is based on reconfigurable baseband processor architecture, which tries to increase the performance of processor by adding no. cores into process
Introducing Coherent 100ZR for the optical edgeADVA
Our Coherent 100ZR empowers service providers to easily and affordably deploy 100Gbit/s coherent transceiver technology in the access network. Purpose-built for the optical edge, it features the industry's first DSP to meet 5W QSFP specifications and is offered in both C-temp and I-temp variations for a broad range of deployment options.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
SDR for radar 090623
1. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 1www.sagax.hu
Software Defined Radio TechnologySoftware Defined Radio Technology
forfor Radar SystemsRadar Systems
Dr. Bertalan EGEDDr. Bertalan EGED
Managing DirectorManaging Director
Sagax Communications, Ltd.Sagax Communications, Ltd.
Haller u. 11Haller u. 11--13. Budapest 1096 Hungary13. Budapest 1096 Hungary
www.sagax.huwww.sagax.hu
Analog- and digital hw Signal processing- and operating sw Equipment System
2. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 2www.sagax.hu
OutlineOutline
•• RootsRoots
•• ModelingModeling
•• Implementation levelsImplementation levels
•• Analog frontAnalog front--end processingend processing
•• Domain conversionDomain conversion
•• Digital signal processingDigital signal processing
•• SCA operating environmentSCA operating environment
•• Related work in RTORelated work in RTO
•• Future trendsFuture trends
•• Conclusions and remarksConclusions and remarks
3. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 3www.sagax.hu
SINCGARS ESIP
HAVE QUICK II
Wideband Networking Waveform (WNW)
DAMA 181/182/183/184
Link 16 (TADIL J)
HF ISB w/ALE
HF SSB w/ALE
VHF ATC Data Link
VHF AM ATC
VHF AM/FM
STANAG 5066 (HF)
STANAG 4529 (HF)
Link 4A (TADIL C)
Link 11 (TADIL A)
Link 11B (TADIL B)
SATURN
BOWMAN
UHF AM/FM PSK
HF ATC Data Link
VHF AM ATC Extended
GPS/SASSM
BFT/RFT
NIPRNET
SIPRNET
NDL
Joint Network Management System (JNMS)
Soldier and M16A2
Soldier Radio Waveform (SRW)
Link 22 (NILE)
JTRS WNW Network Manager (JWNM)
TETRA
Roots of SDR conceptRoots of SDR concept
US DoD inventory of at least 25 to 30 different radio types:
750,000 radios in all, many nearing end of operational lifetime
4. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 4www.sagax.hu
Radio electronic devicesRadio electronic devices modelingmodeling
Traditional implementation
IF Down
Conversion
Baseband
Down
Conversion
Baseband
Demodulation
and
Processing
RF IF BB
Conversion
technology
RF
technology
DSP
technology
GUI
technology
Analog
Signal
Processing
Digital
Signal
Processing
Domain
Conversion
A/D or D/A
Software defined implementation
5. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 5www.sagax.hu
Different implementation levelsDifferent implementation levels
Digital
signal
handling
Digital
BB
processing
Digital
IF
processing
Digital
RF
processing
6. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 6www.sagax.hu
AnalogAnalog frontfront--endend signal processingsignal processing
•• Frequency transformation of airFrequency transformation of air--band to the digitallyband to the digitally
processableprocessable frequency, bandwidth and levelfrequency, bandwidth and level
•• Performance merits:Performance merits:
–– Noise/dynamic rangeNoise/dynamic range
–– Frequency bandwidthFrequency bandwidth
and agilityand agility
•• TypicalTypical technologies:technologies:
–– Frequency generationFrequency generation
–– MixingMixing
–– FilteringFiltering
–– Gain controlGain control
–– AmplificationAmplification
7. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 7www.sagax.hu
Typical analog frontTypical analog front--end architecturesend architectures
Digital
BB
generation
Digital
IF
generation
Digital
RF
generation
8. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 8www.sagax.hu
•• Conversion between the analog and digital representationConversion between the analog and digital representation
of the signalsof the signals
•• Performance merits:Performance merits:
–– Input and instantaneous bandwidthInput and instantaneous bandwidth
–– Noise level and dynamic rangeNoise level and dynamic range
•• Possible technologiesPossible technologies
–– FlashFlash
–– PipelinePipeline
–– FoldingFolding
–– SigmaSigma--deltadelta
–– InterleavedInterleaved
Domain conversionDomain conversion
9. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 9www.sagax.hu
Analog to Digital converterAnalog to Digital converter’’ss evolutionevolution
@2005@1990
100 MHz to 3 GHz @ 12 BITS
Close to Moore’s law: X2/2Y
10. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 10www.sagax.hu
Sampling clock jitter requirementsSampling clock jitter requirements
––––24
–––0.16 ps20
––0.12 ps1.21 ps18
–0.05 ps0.49 ps4.86 ps16
0.02 ps0.19 ps1.94 ps19.4 ps14
0.08 ps0.78 ps7.77 ps77.7 ps12
0.31 ps3.11 ps31.1 ps311 ps10
1.24 ps12.4 ps124 ps1.24 ns8
1 GHz100 MHz10 MHz1 MHz
Input frequencyADC
res.
in bit
11. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 11www.sagax.hu
Improved dynamic range by ditheringImproved dynamic range by dithering
12. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 12www.sagax.hu
Digital signal processingDigital signal processing
•• FSIC (Function Specific Integrated Circuit)FSIC (Function Specific Integrated Circuit)
–– Best in size and power consumptionBest in size and power consumption
–– Limited configurabilityLimited configurability
•• FPGA (FieldFPGA (Field--Programmable Gate Array)Programmable Gate Array)
–– Could implement any hw with arbitrary changed configurationsCould implement any hw with arbitrary changed configurations
–– Slower and more expensiveSlower and more expensive
•• DSP (DDSP (Dedicatededicated Signal Processor)Signal Processor)
–– Optimized architecture for typical processing tasksOptimized architecture for typical processing tasks
–– Limited data transfer capabilityLimited data transfer capability
•• GPP (General Porpuse Processor)GPP (General Porpuse Processor)
–– The performance limited by its architectureThe performance limited by its architecture
–– The speed of execution overdrives architectural limitsThe speed of execution overdrives architectural limits
13. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 13www.sagax.hu
How these chips should be usedHow these chips should be used
•• It is best to combine FSIC, FPGA, DSP and GPPIt is best to combine FSIC, FPGA, DSP and GPP
taking advantage of each characteristicstaking advantage of each characteristics
Common Object Request Broker Architecture
14. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 14www.sagax.hu
JTRS SCA operating environmentJTRS SCA operating environment
15. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 15www.sagax.hu
SDR related work in RTOSDR related work in RTO
•• ISTIST--80 RTG80 RTG
•• Possible way for followPossible way for follow--up:up:
–– SCA compliantSCA compliant (passive)(passive) radarradar (receiver)(receiver) waveform demonstratorwaveform demonstrator
16. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 16www.sagax.hu
•• OptoOpto--electric deviceselectric devices
–– Optical sources have betterOptical sources have better
jitter (jitter (=phase noise) performance=phase noise) performance
–– Better frequency mixers and samplersBetter frequency mixers and samplers
RX: 2RX: 2--18 GHz, 500MHz BW, 3dB NF, 147dBHz18 GHz, 500MHz BW, 3dB NF, 147dBHz2/32/3 DRDR
•• HighHigh--temperature superconductingtemperature superconducting
–– One of the limits of highOne of the limits of high--level integrationlevel integration
is the power dissipationis the power dissipation
–– Handling heating problems leads to moreHandling heating problems leads to more
compact and effective devicescompact and effective devices
ADC: 20 GHz sampling and 12 bit resolutionADC: 20 GHz sampling and 12 bit resolution
Future trendsFuture trends impact SDR technologyimpact SDR technology
17. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 17www.sagax.hu
ConclusionsConclusions and commentsand comments
•• Software defined radio technology determines theSoftware defined radio technology determines the
development trends in radio electronic evolutiondevelopment trends in radio electronic evolution
•• Radar systems also will follow this general trendRadar systems also will follow this general trend
•• Some potential technology could be seen to ensureSome potential technology could be seen to ensure
the base of developments in bandwidth and dynamicthe base of developments in bandwidth and dynamic
rangerange
18. NATO RTO SET-136 (23-25.06.09.) - SM on "Software Defined Radar" 18www.sagax.hu
References and readingsReferences and readings
• R.C.Hiks „A Servey of Analog to Digital Converters for Radar aplication”, Radar 92.
International Conference, 12-13 Oct 1992, pp. 534 - 537
• Kent H. Lundberg, „High-Speed Analog-to-Digital Converter Survey”,
http://web.mit.edu/klund/www/papers
• F. Boré, S. Bruel, M. Wingender „A 10-bit 2.2 Gsps ADC Operating Over First and Second
Nyquist Zones”, ATMEL Application journal, Number 6, Winter 2006, pp. 43-48.
www.atmel.com
• Analog Devices Application Note 501: Aperture Uncertainty and ADC System Performance ,
www.analog.com
• Linear Technoligy Design Note 1013: Understanding the Effect of Clock Jitter on High Speed
ADCs, www.linear.com
• R. H. Hosking, „Building SCA-compliant software-defined radios „„ DSPDSP DesignLineDesignLine ,,
September 27, 2006September 27, 2006,, www.dspdesignline.com
• MUKHANOV et al.: SUPERCONDUCTOR ANALOG-TO-DIGITAL CONVERTERS,
PROCEEDINGS OF THE IEEE, VOL. 92, NO. 10, OCTOBER 2004, www.hypres.com
• www.ece.drexel.edu/CMLE/index.html