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Spectrum Sensing with Software Radios

Design Presentation. Spectrum Sensing with Software Radios. Team members: Eun Kim, Suen Guy Min, and Matt Dolter Advisor: Dr. Zhengdao Wang Group: May-1006. Hardware. We will be using the universal software radio peripheral (USRP) made by Ettus Research

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Spectrum Sensing with Software Radios

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  1. Design Presentation Spectrum Sensing with Software Radios Team members: Eun Kim, Suen Guy Min, and Matt Dolter Advisor: Dr. Zhengdao Wang Group: May-1006

  2. Hardware • We will be using the universal software radio peripheral (USRP) made by Ettus Research • The department already owns several of these

  3. USRP Overview • Interface to PC with USB connection • Data rate needs to be limited to USB bandwidth • USB can handle 32 MB/sec • At 4 Bytes per complex sample, USB can handle 8 M complex samples per second • USRP samples at a rate of 64 M complex samples per second • Therefore decimation by a factor of at least 8 is required for no data loss • Equipped with a TV band receiver • Can receive frequencies from 50-860 MHz • This is larger than the specified range (100-800 MHz)

  4. USRP Block Diagram

  5. Data Flow Diagram

  6. Software • This is the majority of our project • Signal processing blocks are done in C++ • There is already a pretty extensive library of these • We may or may not need to write our own • Python is used to connect the blocks and run the process • Most of our time will be spent here

  7. Part I • Create a map of the spectrum • A program will be used to collect data • The program will loop over the 100-800 MHz band in increments of 6 MHz • Each iteration will look at 6 Mhz wide bands • Process the data to obtain signal energy over the given band • Run at certain times during the day • The map can then be used to create a model of the spectrum usage for a given day

  8. Part II • Using the model • A user friendly program that will determine the optimal frequency for transmission • It will do the same sort of sensing done in Part I on a smaller scale based on created model • User will be able to set certain sensing parameters

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