一种基于非周期随机共振的微弱信号检测方法

随机共振滤波器能够在强噪声背景中跟踪微弱信号(非周期或周期信号)波形,并将幅度放大,这正好弥补了匹配滤波器在强噪声背景下检测性能的严重不足。本文给出了FHN随机共振的简化模型及计算方法,在深入分析FHN随机共振模型参数对其滤波性能影响的基础上,结合随机共振滤波器和匹配滤波器,提出了一种基于FHN随机共振模型检测确知信号的方法。首先将接收信号经FHN随机共振滤波器进行滤波,再进行匹配滤波,最后将滤波结果和门限进行比较判断信号是否存在。经过实验验证,该方法具有较好的效果。

An Asr-Based Method for Weak Signal Detection

In a heavy noise,the weak signal's waveform is tracked and amplified by stochastic resonance,no matter how the signal is periodic or aperiodic,that just can compensate for the disadvantage of matched filter which has a poor performance of detecing the weak signals.This paper gives the simplified model of FHN stochastic resonance and its computation method, analyzing FHN stochastic resonance model's parameters on its filtering performance,combining FHN filter and matched filter,presents a method of detecing weak based on FHN model of stochastic resonance.The received signal is filtered by FHN filter and by matched filter in turns,thus whether a signal is present in noise is determined in comparison with a threshold.Finally,the validity of this method is well verified by our experiments.