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 sales@verilogcourseteam.com, fee applicable. SIMULATION VIDEO DEMO
You can DOWNLOAD AWGN Error Matlab(p-code) and the reference papers.
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