Enhancement of a Two Thresholds sensing system by Segmentation of Confused Regions

Abstract

A new technique called cognitive radio seeks to utilize the available spectrum.. Spectrum sensing is the fundamental cognitive radio component. There are many types of sensing spectrums, one of which is The Two Thresholds Based on Covariance Absolute Values (TTCAV) method. This method's confused region, which is unsure whether it is a signal or noise, is one of its drawbacks. To solve this problem proposed two techniques, a 2-bit quantization technique and a 3-bit quantization technique. Both techniques use an adaptive threshold. The experimental results conducted using python version 3.7 and Jetson Nano kit show an improvement in the detection probability values after using the techniques. where the value of Pd = 80.2% for a 2-bit technique, Pd=90.3% for a 3-bit quantization technique, at SNR=-20 under smoothing factor L=3. The Monte Carlo was used to determine the effectiveness of the proposed techniques, and Binary Phase Shift Keying modulation BPSK. According to the experiment, the results after using the proposed techniques are better than before. Index Terms— cognitive radio, spectrum sensing, the Covariance matrix, Jetson Nano kit.