Performance improvement using optimum power energy detector under noise uncertain environment in cognitive radio

Abstract

Spectrum sensing in a noise uncertain environment is treacherous and it requires very careful detection algorithm. Noise uncertainty will make the detector unreliable due to the SNR walls. So, a double threshold method is used to improve the detection performance where each secondary user will use two thresholds detector for detection. The thresholds are calculated according to the noise uncertainty at each secondary user. Here, we have worked on and analyzed the results of traditional energy detector in a noise uncertain environment using double threshold with the aid of co-operative sensing. The unsuitability of the traditional energy detector is observed from the analysis and we propose a dual threshold based optimum power energy detection algorithm suitable under noise uncertainty.