COMPARATIVE ANALYSIS OF THE SPECTRUM SENSING TECHNIQUES
This project presents the performance evaluation of spectrum sensing methods by plotting ROC curve and error probability with SNR for different spectrum sensing methods mentioned below.
Energy detector
Matched filter
Co-variance
Eigen Value
Plot ROC curve and total error probability (false alarm+missed detection) vs SNR of these techniques at SNR = 10db and SNR = -10db for Rayleigh noise as well as awgn noise. Create a test signal as per your convenience (we prefer unity signal).
Plot the same by applying cooperative fusion rules to these techniques (AND rule, OR rule, majority rule, average rule). Take the number of sensors as per your convenience.
In cooperative fusion, we use many sensors and fuse their individual results. Here we use a single sensor and make decisions based on the above 4 techniques and fuse the results using the above-mentioned techniques.
Reference Paper-1: A Modified Spectrum Sensing Method for Wideband Cognitive Radio Based on Compressive Sensing
Author’s Name: Xi Chen, Linjing Zhao, Jiandong Li
Source: IEEE
Year: 2009
Reference Paper-2: Boosted Energy Detector Based Spectrum Sensing Methodology For Cognitive Radio
Author’s Name: J. Avila and K. Thenmozhi
Source: Middle-East Journal of Scientific Research
Year: 2014
Request source code for academic purpose, fill REQUEST FORM or contact +91 7904568456 by WhatsApp or info@verilogcourseteam.com, fee applicable.
SIMULATION VIDEO DEMO
You can DOWNLOAD AWGN Error Matlab(p-code) and the reference papers.