文献类型：期刊文献

英文题名：Kendall's Tau Based Spectrum Sensing for Cognitive Radio in the Presence of Laplace Noise

作者：Huang, Yongjian[1];Lai, Huadong[2];Dai, Jisheng[3];Xu, Weichao[1]

机构：[1]Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China;[2]Guangdong Ocean Univ, Sch Elect & Informat Engn, Zhanjiang 524088, Peoples R China;[3]Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

年份：2024

卷号：31

起止页码：2840

外文期刊名：IEEE SIGNAL PROCESSING LETTERS

收录：SCI-EXPANDED(收录号：WOS:001339091400001)、、EI(收录号：20244317263505)、Scopus(收录号：2-s2.0-85207014881)、WOS

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62171141 and Grant 62071206, and in part by Guangdong Science and Technology Department under Grant 2024A1515011803.

语种：英文

外文关键词：Kendall's tau (KT); Laplace noise; energy detection (ED); cognitive radio (CR) system; spectrum sensing

外文摘要：In the presence of non-Gaussian noise, traditional spectrum sensing techniques optimized for Gaussian noise may experience significant performance degradation. To address this challenge, this paper employs Kendall's tau (KT) as a detector to detect the primary signal in additive Laplace noise. Unlike techniques relying on fundamental information from raw observation data, this detector utilizes ranks to reduce the impact of impulsive component, thus being robust against large valued outliers. The analytic expressions concerning the expectation and variance of KT under Laplace noise are firstly established. Performance analyses are further conducted in terms of false alarm probability and detection probability. Monte Carlo simulations not only verified the correctness of the established theoretical results, but also demonstrated the superiority of KT over other commonly used methods in terms of detection probability under Laplace noise.