Cyclostationarity-Based Detection of Randomly Arriving or Departing Signals

被引:3
作者
Lee, Y. [1 ]
Lee, S. R. [2 ]
Yoo, S. [3 ]
Liu, H. [4 ]
Yoon, S. [5 ]
机构
[1] Samsung Elect, Suwon, South Korea
[2] Mokpo Natl Univ, Dept Informat & Elect Engn, Muan, South Korea
[3] Konkuk Univ, Dept Elect Engn, Seoul, South Korea
[4] Oregon State Univ, Sch Elect Engn & Comp Sci, Corvallis, OR 97331 USA
[5] Sungkyunkwan Univ, Coll Infomat & Commun Engn, Suwon, South Korea
基金
新加坡国家研究基金会;
关键词
Spectrum sensing; CR; cyclostationarity; dynamic primary user signals; COGNITIVE RADIOS; NETWORKS;
D O I
10.1016/S1665-6423(14)71668-2
中图分类号
学科分类号
摘要
This paper addresses the problem of detection of randomly arriving or departing primary user (PU) signals in cognitive radio systems. The detection problem of the dynamic PU signal is modeled as a binary hypothesis testing problem where the PU signal might randomly depart or arrive during the sensing period. Then, we detect the cyclostationarity of the PU signal using a test statistic derived from the spectral autocoherence function in dynamic PU signal environments. Numerical results show that the proposed scheme offers an improved spectrum sensing performance than the conventional energy detector for dynamic PU environments.
引用
收藏
页码:1083 / 1091
页数:9
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