An Enhanced Soft Combination Algorithm Based on CUSUM for Cooperative Spectrum Sensing

被引：2
|
作者：
Miao, Jingcheng [1 ]
Song, Xiao Ou [1 ]
机构：
[1] Engn Univ CAPF, Sch Informat Engn, Xian, Shaanxi, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON NETWORKING AND NETWORK APPLICATIONS (NANA) | 2017年
关键词：
cognitive radio; cooperative spectrum sensing; OC; CUSUM; energy detection; COGNITIVE RADIO;
D O I：
10.1109/NaNA.2017.13
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper considers decreasing the mean detection delay of cooperative spectrum sensing in cognitive radio networks accurately and efficiently. In this paper, we improve the optimal soft combination algorithm (OC) and propose an enhanced soft combination algorithm based on nonparametric cumulative sum (CUSUM) algorithm. In the proposed algorithm, the CUSUM algorithm is used at both CR users and base station to obtain the possible maximization of positive drift of observation statistics and reduce the mean detection delay. The simulation results show that, compared to the conventional OC scheme, the improved OC scheme has less mean detection delay and the performance of softened CUSUM combination algorithm is much better.
引用
收藏
页码：176 / 179
页数：4
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