Weak Signal Detection Method of Adaptive Digital Lock-in Amplifier Based on Particle Swarm Optimization Algorithm
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.
Weak signal detection Lock-in amplifier Particle Swarm Optimization.
Shiwen Jiang Tianqi Zhang Shaosheng Dai Yuelei Li Qingshan Gao
Chongqing Key Laboratory of Signal and Information Processing (CqKLS&IP),Chongqing University of Posts and Telecommunications (CQUPT),Chongqing,400065,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
1513-1518
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）