A Signal Detection Method Based on Modified Smoothed Pseudo WVD (MSPWVD) and Binary Integration of Hough Transform

摘要

The WVD-Hough transform could effectively detect several LFM signals in low Signal-Noise Ratio (SNR) environment. However, when the energy of these LFM signals diverge greatly, it is quite difficult to detect all LFM 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 Smoothed 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 could be detected simultaneously. It means that this method has high practicable value. Simulation results verify the effectiveness of this method.