基于小波变换和随机共振的微弱信号检测方法  

Study of Weak Signal Detection Based on Wavelet Transformation and Stochastic Resonance

作　　者：林敏[1] 肖艳萍[2] 赵军[1] 

机构地区：[1]中国计量学院计量技术工程学院,杭州310018 [2]浙江大学城市学院计算机系,杭州310015

出　　处：《传感技术学报》2006年第3期678-681,共4页Chinese Journal of Sensors and Actuators

基　　金：浙江省自然科学基金项目资助(Y104338);浙江省科技计划项目资助(2004C31032)

摘　　要：根据随机共振的噪声选择性和频率敏感特性,提出了基于小波变换和随机共振的微弱信号检测方法。对含噪输入信号经多尺度小波变换分解为不同尺度频率的信号成分后,通过引入尺度收缩因子来调节各尺度信号成分的大小,再将不同尺度的分解信号作为双稳系统的输入,研究了不同尺度频率信号经收缩因子作用后对系统输出信噪比的影响。数值仿真结果表明,选取合适的尺度收缩因子,能有效提高系统输出的信噪比。The method of weak signal detection based on wavelet presented, according to the noise alternative and frequency sensitivity of the stochastic resonance. The input including noise was decomposed by multi-scale wavelets transform, and each scale signal was adjusted by the different scale contraction factor, then the decomposed signal was used as the input of the bistable systems, we examined the effect of each scale frequency signal operated by the contraction factor on SNR of output in the system. The result of the simulation showed that the equal scale contraction factor can improve the SNR of the system effectively.

关 键 词：小波变换 随机共振 微弱信号检测 信噪比 

分 类 号：TN911.23[电子电信—通信与信息系统]