Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments

It is recently shown in the literature that impact of transceiver hardware impairments cannot be ignored in a low-cost cognitive radio systems. In this paper, a new method for calculating improved energy detector statistics using α − µ distribution in Gaussian and Nakagami-m fading channels is proposed by considering noises originated from physical transceiver hardware, which in turn increases the accuracy of the detector. Similarly, the average probability of detection is presented for the mentioned systems in fading and non-fading environments. Moreover, p-order law combining and p-order law selecting diversity techniques are proposed to increase the performance of the system. Our simulation results demonstrate that the diversity techniques significantly reduce the effect of hardware impairment noises.