Improved Energy Detection With Laplacian Noise in Cognitive Radio

被引：38

作者：

Ye, Yinghui ^{[1
]}

Li, Yongzhao ^{[1
]}

Lu, Guangyue ^{[2
]}

Zhou, Fuhui ^{[3
]}

机构：

[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710126, Shaanxi, Peoples R China

[2] Xian Univ Posts & Telecommun, Shaanxi Informat Commun Network & Secur Lab, Xian 710121, Shaanxi, Peoples R China

[3] Nanchang Univ, Sch Informat Engn, Nanchang 510310, Jiangxi, Peoples R China

来源：

IEEE SYSTEMS JOURNAL | 2019年 / 13卷 / 01期

基金：

中国博士后科学基金;

关键词：

Central limit theorem; cognitive radio (CR); energy detection (ED); Laplacian noise; spectrum sensing; SPECTRUM SENSING ALGORITHMS;

D O I：

10.1109/JSYST.2017.2759222

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Contaminated by Laplacian noise, the performance of energy detection (ED) degrades. To address this problem, an improved energy detection (i-ED) is proposed. Instead of the square of the received signal amplitude in the ED, an arbitrary exponent varying from 0 to 2 is adopted in the proposed algorithm. By deriving the expressions of the false alarm probability and detection probability, we propose an approach to determine the optimal exponent for a given cognitive radio system scenario. Both theoretical analysis and simulation results demonstrate that, by selecting the optimal exponent, the proposed i-ED outperforms ED and the absolute-value cumulating detection in terms of detection performance and robustness to the noise uncertainty.

引用

页码：18 / 29

页数：12

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