Multi-Component LFM Signal Feature Extraction Based on Improved Wigner-Hough Transform

Yue Wang · Transactions of Beijing Institute of Technology · 2008

Feature extraction of multi-component LFM signal based on Wigner-Hough transform is generally plagued by noises.Faced with this problem,the improved Sobel operator of digital image processing is used to detect edge features of Wigner-Ville distribution(WVD) figure of signals with noise,and then signal characteristics can be extracted well and truly under Hough transform.Through computer simulation of the Wigner-Hough transform(WHT),SPWD-Hough transform and improving WHT,feature extraction result of multi-component LFM signal using improved WHT proved to be the best.

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