Weak Signal Detection Method of Adaptive Digital Lock-in Amplifier Based on Particle Swarm Optimization Algorithm

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外文摘要：In this paper，an intelligent algorithm—Particle swarm Optimization (PSO) is applied to adoptively realize weak sinusoidal signal detection of digital lock-in amplifier。 Each particle is a reference signal。 Using this algorithm PSO first searches the optimum particle of particle swarm，and then estimates the corresponding parameters of input useful signal through the messages of the optimum particle。 The algorithm can realize detection of weak signal by modifying its some parameters，so it is more convenient and flexible than the method of traditional lock-in amplifier (L1A) in application。 Computer simulation results show that this method can accurately detect multiple useful sinusoidal signals which are inundated by strong noise of-40 dB，and also detect AM signal。 Then the effectiveness of this method is verified by AM signal。

外文关键词：

Weak signal detectionLock-in amplifierParticle Swarm Optimization.

作者：

Shiwen Jiang、Tianqi Zhang、Shaosheng Dai、Yuelei Li、Qingshan Gao

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作者单位：

Chongqing Key Laboratory of Signal and Information Processing (CqKLS&IP),Chongqing University of Posts and Telecommunications (CQUPT),Chongqing,400065,China

会议名称：

International conference on electronic measurement & instruments;ICEMI' 2009

会议地点：

Beijing(CN);Beijing(CN)

会议母体文献：

Proceedings of 2009 9th international conference on electronic measurement & instruments

页码：

p.1513-1518

出版时间：

2009