基于修正的平滑伪WVD和Hough变换的二值积累的信号检测方法
A Signal Detection Method Based on the Modified Smoothing Pseudo WVD and the Binary Integration of Hough Transform
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摘要: 在低信噪比条件下,WVD-Hough变换可以有效的地检测多个线性调频信号,但是当多个线性调频信号能量相差很大时,强信号的平台会将弱信号的峰值给淹没, WVD-Hough变换就很难同时将这多个线性调频信号检测出来。该本文基于在WVD-Hough变换的基础上,提出了基于修正的平滑伪WVD和Hough变换二值积累的方法。这种方法可以同时检测出强信号以及被强信号平台掩盖的弱信号,具有很大的实用价值,仿真的结果验证了算法的有效性。Abstract: The Wigner-Ville Distribution (WVD)-Hough transform could effectively detect several Linear Modulated Frequency(LMF) signals in low Signal to Noise Ratio (SNR.) envi-ronment. However, when the energy of these LMF signals diverge greatly, it is quite difficult to detect all the LMF signals with the WVD-Hough transform at the same time, because the platform of strong signals will cover weak signals. In this paper, a signal detection method based on Modified Smoothing Pseudo-WVD (MSPWVD) and binary integration in Hough transform parameter space is proposed according to the WVD-Hough transform. Using this method, strong signals as well as the weak signals covered by the strong signals can be de-tected simultaneously. It means that this method has high practicable value. Simulation results verify the effectiveness of this method.
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