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

T. Dinh, Q. Nguyen, K. Sandrasegaran
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引用次数: 3

Abstract

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.
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铃木衰落下基于egc的软决策合作检测概率的封闭形式
在基于能量检测的协同频谱感知中,有研究认为软决策比硬决策具有更好的检测性能。本文主要研究铃木衰落下基于等增益组合(EGC)的软判决,铃木衰落是一种瑞利-对数正态复合衰落。利用矩生成函数(MGF)逼近融合中心接收信号功率和的概率密度函数(PDF)。在此基础上,提出了一种基于高斯-埃尔米特近似和MGF匹配的铃木衰落下协同检测性能评价方法。最后,我们比较了基于egc的软决策和硬决策的结果。
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