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一种新型的能量检测方法及性能分析

Novel Energy Detection Method and Detection Performance Analysis
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摘要 针对当前小样本情况下的能量检测(Energy Detection,ED)方法只对AWGN(Additive White Gaussian Noise)非衰落信道上的检测性能进行了近似分析的不足,利用广义Marcum Q函数的最新研究成果对小样本条件下的ED方法进行研究,推导出在瑞利衰落信道下易处理的、精确的ED检测概率闭式解表达式,并对其检测性能进行了分析。理论分析和仿真结果表明,与目前采用中心极限定理(Central Limit Theorem,CLT)、多维高斯(Cube-of-Gaussian,CoG)近似法及其他近似法分析ED检测性能相比,所提方法在小样本情况下具有更稳定、更精确的检测性能。 In order to overcome the disadvantage that the existing small sample size-based energy detection(ED)methods only obtain the approximations of detection performance of ED in AWGN(Additive White Gaussian Noise),a more tractable and more accurate closed-form expression for detection probability of ED in Rayleigh fading channel was derived and its performance was analyzed by exploiting the latest research result of generalized Marcum Q-function in this paper.Both theoretical analysis and simulation results show that compared with the approximate analysis of ED detection performance such as the CLT(Central Limit Theorem)-based approach,the CoG(Cube-of-Gaussian)-based method and other approximations,the proposed scheme has more robust and accurate detection performance.
作者 曹开田 杭燚灵 CAO Kai -tian1,2 ,HANG Yi -ling2(1Key Lab of Broadband Wireless Comniunication and Sensor Network Technology, Ministry of Education Nanjing University of Posts and Telecommunications, Nanjing 210003, China;2College of Telecommunications and Inforniation Engineering, Nanjing University of Posts and Telecommunications,Nanjing 210003, Chin)
出处 《计算机科学》 CSCD 北大核心 2018年第B06期266-269,294,共5页 Computer Science
基金 国家自然科学基金(61671252 61201161 61571233)资助
关键词 认知无线电 频谱感知 能量检测 检测性能 Meijer’s G函数 Cognitive radio Spectrum sensing Energy detection Detection performance Mcijer ' s G function
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