标题：Efficient feature extraction of cycle spectrum and weak communication signal detection
作者：Li, Shaopeng ;Yan, Kun ;Xiong, Hailiang
作者机构：[Li, Shaopeng ;Yan, Kun ] College of Information and Communication, Guilin University of Electronic and Technology, Guilin, China;[Xiong, Hailiang ] S 更多
会议名称：2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
会议日期：22 October 2017 through 24 October 2017
来源：2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
关键词：Binary Phase Shift Keying (BPSK) signals; cyclic spectrum; detection of weak communication signals
摘要：Cyclic spectrum analysis is often used for weak signal detection, but due to the high computational complexity, the associated methods are often limited in engineering use. Hence, in this work, the characteristics of cyclic spectrum are studied, and an efficient weak communication signal detection method is proposed thereupon. By studying the cyclic spectrum of the communication signal, an analytical scheme determining the cyclic spectrum line of the communication signal, i.e. Binary Phase Shift Keying (BPSK) modulated signal, is proposed. In order to improve the detection efficiency, a sparse vector is used to express the characteristics of the cyclic spectrum line, and a detection mechanism is established accordingly. Monte Carlo simulation results show that the proposed method achieves higher detection accuracy without inducing more computation complexity compared to the peering cyclic spectrum detection techniques. © 2017 IEEE.