Frequency Detection of Weak Periodic Signal Based on Modified ADVP Model

摘要：

Detecting weak periodic signal by chaotic oscillator is not only a new method, but also practical applications on chaos theory. However, when using this method to detect weak periodic signal, we have to know the frequency of weak periodic signal in advance, which limits applications of the method. This paper studies the relation between the frequency of measured weak periodic signal and max-variance of output signal. Based on modified ADVP model, we search max-variance of output signal by genetic algorithm. With this new method, we obtain the frequency of measured weak periodic signal besides verify existence of weak periodic signal, which can remove the limitation of detecting weak periodic signal by chaotic oscillator. At the end, we successfully apply the new method to detect frequency of persons breath.

关键词： modified ADVP model genetic algorithm weak periodic signal frequency detection

作者: Linze Wang Chao Yue Ziming Li Wenli Zhao

作者单位: Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1517-1520

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）