1. 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

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 MHz
This is larger than the specified range ( 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 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