基于随机共振的微弱信号检测
Weak Signal Detection Based on Stochastic Resonance
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摘要: 在强噪声背景下，基于WV和Hough变换的正弦和线性调频信号检测方法的性能严重下降，为克服这种不足，该文在深入分析FHN随机共振系统参数对滤波能力影响的基础上，提出一种基于随机共振系统检测微弱正弦和线性调频信号的方法。首先借助FHN随机共振模型进行滤波，在此基础上进行WV和Hough变换，将信号的检测问题转换为时频图中的直线检测问题。实验证实，该方法具有较好的效果。Abstract: In a heavy noise,the method based on Wigner Ville (WV) and Hough transformations has the poor performance of detecting the weak signal. To improve it, this paper analyzes the influence of the Fitz Hugh Nagumo(FHN) models parameters on its filtering characteristics, and presents a method of detecting weak sinusoid and LFM signals based on FHN model of stochastic resonance. Firstly ,the received signal is filtered by FHN model ,and transformed by WV and Hough in turns, thus whether a signal is present in noise is determined according to whether there is a line in time-frequency picture. Finally, the validity of this method is well verified by the experiments.
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