The Weak Signal Detection Based on Chaos and Genetic Algorithms

摘要：

weak signals detection using different chaos oscillators such as Duffing systems and Lorenz systems is an effective detection method in low SNR. Genetic algorithms have a lot of applications in the fields of parameters estimation and neighbor searching. Combination two methods to detect weak signal can test lower SNR signal, give a more meaningful chaos prediction and so on. In the paper, the methods of detecting weak sinusoid signal using improved chaos oscillators method is presented, and the nonlinear time series prediction using genetic algorithms is discussed.The simulation result can prove that this methods is effective in weak signal detection.

关键词： chaos Lorenz system genetic algorithms nonlinear time series signal

作者: Changjian Deng Shaoquan Zhang

作者单位: Department of Automatic Control Engineering Chengdu University of Information Technology Chengdu, Sichuan, 610225, China

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 579-582

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）