Que con lo mismo se logremejorescosas. Procesos de sampling,cantidad de power paratransmitirunasenaleficientemente.
Though not the only way to implement an SDR system, PC Sound card, a DSP board.El USRP es un producto de la empresa ETTUS radio, paraincentivar el desarrollo de SDR and CR. ETTUS es un empresa sin animo de lucro.
Genralmente en las daughter boards se encuentran los diferentes RF-Front ends. La idea esque los mixer, los amplificadores, los demu/moduladoresesten en software y en hardware los Front-ends porque son los manejanlasaltasfrecuencias y laspotencias.Allow the output signal to be modulated to a higher frequency and an input signal to be stripped of its carrier. Several classes of boards exist: Receivers, Transmitters and Transceivers. Possibility of creating you own board.
Nuestradificultad con GNURADIO, el Porque. GNURADIO, se basa en variaslibreriasquellevanacabofuncionesespecificas. SDR futuro.
in order to create an algorithm to detect and recognize important patterns will be implemented. Finally, the Cognitive Radio (CR) will generate a response based on the patterns found; this response will be based on cognitive methods in the algorithm.The idea behind the algorithm is to recognize patterns such as,saturation in the channel, drastic and continued change in signalstrength, and to give priority to a primary user.
PRLSAMP PP Presentation
Implementation of a Software Defined Radio<br />Héctor A. Tosado Jimenez<br />Undergraduate Student – Computer Engineering<br />Advisor: Dr. Lizdabel Morales Tirado<br />University of Puerto Rico of Mayagüez<br />
Introduction<br />Software Defined Radio (SDR) and Cognitive Radio (CR)<br />Universal Software Radio Peripheral (USRP)<br />GNU Radio<br />Implementation<br />Current Work<br />Future Work<br />Acknowledgements<br />References<br />Agenda<br />
Currently, society has a big demand in its communication processes for:<br />Connectivity<br />Mobility <br />Performance <br />Throughput<br />Quality of Service<br />Motivation<br />5G<br />Incredible Speeds<br />No Access Limitation<br />More Services<br />Intelligence<br />4G<br />3G<br />
Introduction<br />Over the last 10 years, Software Defined Radio (SDR) has expanded the capabilities of wireless communication devices allowing greater volume of information to be processed more efficiently. This is because:<br /> SDR also allows the implementation of new services/features to be downloaded.<br />The physical layer may be changed easily.<br />Radio resources may be optimized.<br />
Our implementation of a Cognitive Radio (CR) system is based on: <br />Introduction<br />
USRP<br />To implement our SDR we will employ the Universal Software Radio Peripheral (USRP). <br />The USRP is an inexpensive but powerful hardware device to implement SDR systems.<br />The USRP is controlled via USB through a host computer. To define the radio in software and to control the USRP, GNU Radio is used.<br />
USRP<br />USRP Contains:<br />Daughter boards (RF Front-End)<br />ADC/DAC<br />User Programmable FPGA<br />Designed to Work With GNU Radio<br />The USRP allows us for greater flexibility.<br />Daughter boards <br />Antennas<br />
USRP has been used for a variety of things:<br />testing equipment<br />a cellular GSM base station<br />a GPS receiver<br />an FM Radio receiver<br />an FM Radio transmitter<br />a digital television decoder<br />passive radar<br />an amateur radio<br />USRP<br />
The USRP will be controlled through the use of GNU Radio. <br />GNU Radio can be run with different type of OS but we will be using Ubuntu’s Maverick version10.10. <br />The GNU Radio project is an open source toolbox to develop, program and deploy software radios.<br />GNU RADIO<br />
There are three ways to access the resources of the GNU Radio: GNU Radio Companion (GRC), C++ and Python.<br />All blocks are built on C++ functions and the signal processing outcomes are displayed with Python to the end user. <br />GNU RADIO<br />
For the design of our system a revision of the GNU Radio structure was done. <br />After the revision, a basic spectrum analyzer was implemented to characterize the SDR’s environment. <br />In order to detect the availability of the communication channels, an algorithm to detect and recognize important patterns will be implemented.<br />Implementation<br />
As stated above we are currently working with a Spectrum Analyzer that can characterize the SDR’s environment. This allows us to find which devices close to the radio function on a specific frequency. <br />This frequency is limited on the specs of the daughter board currently installed, in our case, we are working on the ISM band (~2.4GHz).<br />Current work<br />
Current work<br />In this stage of the project we are working in the improvement of the basic spectrum analyzer included with GNU Radio.<br />
A test-bed will be created to operate in the ISM band to investigate more efficient methods to access the spectrum.<br />Machine learning techniques will be applied to detect and recognize.<br />The goal is to achieve a Low Complexity Cognitive Radio.<br />FUTURE WORK<br />
L. Morales, “An Approach to Using Cognition in Wireless Network”, Doctoral Dissertation, submitted to the Virginia Polytechnic Institute and State University. 2009<br />J. H. Reed, Software Defined Radio: A Modern Approach to Radio Engineering. Prentice Hall, 2002.<br />www.gnuradio.org, “The GNU Radio Project.”.<br />www.ettus.com, “USRP Radio Platform, Ettus Research LLC”.<br />http://www.wipro.com/pdf_files/sdr_wipro.pdf, Software-Defined Radio White Paper, A Technology Review, 2002.<br />References<br />