Multiple LFM signals detection method based on Pseudo-Wigner-Ville Distribution and binary integration of Hough transform

The Wigner-Ville Distribution (WVD) and Pseudo-Wigner-Ville Distribution (PWVD) are very popular and effective methods for detecting Linear Frequency Modulated (LFM) signals in noisy environments. Hough transform is also widely used method for detection and parameter estimation of chirp signals. However, when there are signals with very different strength from each other, it is difficult to simultaneously detect both of them. The paper proposes a method for solving this problem. The algorithm is based on PWVD and Binary Transform in Hough space. Simulations show that the strong and the weak signal can be detected simultaneously and their parameters can be estimated.