A closed-form of cooperative detection probability using EGC-based soft decision under Suzuki fading

In cooperative spectrum sensing based on energy detection, several researchers have concluded that Soft Decision has better detection performance than Hard Decision. In this paper, we focus on Equal Gain Combining (EGC)-based soft decision under Suzuki fading which is a composite Rayleigh-lognormal fading. We use Moment-Generating function (MGF) to approximate Probability Density Function (PDF) of power sum of received signals at Fusion Center. Then we propose a novel method to evaluate cooperative detection performance under the effect of i.i.d Suzuki fading by using Gauss-Hermite approximation and MGF matching. Finally, we compare the results of EGC-based Soft Decision with those of Hard Decision.