Su Feng, He You, Qu Chang-wen, Xia Ming-ge. A Signal Detection Method Based on the Modified Smoothing Pseudo WVD and the Binary Integration of Hough Transform[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1915-1917.
Citation:
Su Feng, He You, Qu Chang-wen, Xia Ming-ge. A Signal Detection Method Based on the Modified Smoothing Pseudo WVD and the Binary Integration of Hough Transform[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1915-1917.
Su Feng, He You, Qu Chang-wen, Xia Ming-ge. A Signal Detection Method Based on the Modified Smoothing Pseudo WVD and the Binary Integration of Hough Transform[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1915-1917.
Citation:
Su Feng, He You, Qu Chang-wen, Xia Ming-ge. A Signal Detection Method Based on the Modified Smoothing Pseudo WVD and the Binary Integration of Hough Transform[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1915-1917.
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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