Direct Sequence Spread Spectrum signal detection based on Chaos theory

被引：0
|
作者：
Gang, Xiong [1 ]
Ming, Lue [1 ]
Bin, Tang [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, SiChuan Prov, Peoples R China
来源：
2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS | 2007年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on Chaos theory, this paper provides a new method for detection of Direct Sequence Spread Spectrum (DSSS) signal. According to tire analysis of Intermittent Chaos, Chaotic Oscillators Array is used in the method. In addition, the system of Duffing Chaotic Oscillators Array is constructed for blind detection in very low signal-to-noise ratio (SNR). Computer simulations prove that the new method is effective. And in comparison with many previous methods such as the method based on wavelet decomposition, the DSSS signal can be detected successfully at a lower detection-threshold by this method, which enhances the performance.
引用
收藏
页码：727 / 730
页数：4
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