Abstract:

To solve the problems of low precision and slow computation speed in the multicomponent linear frequency modulation (LFM) radar signals detection and parameter estimation, a novel parameter estimation algorithm with segmented clustering and fitting based on wavelet transform is proposed. Firstly, the 3D timefrequency distribution image of the signals is obtained by the wavelet transform, and extracts the wavelet ridge of the signals with the contour interception algorithm. Then find the intersection of the ridge, and cut the image of the wavelet ridge based on the intersection. After that, all the ridges of the LFM signals are clustered by FCM algorithm. Finally, each segment is fitted and weighted respectively and the parameters of the multicomponent LFM signals are estimated. Simulation results show that the computational complexity and the precision 〖JP2〗of the parameter estimation notonly have greatly improved, but also have more accurate precision under the condition that LFM components reach more than four when compared with the traditional Hough transform for the line detection.