Ridges Extraction of Time-frequency Distribution Image-hough Transform and Its Performance Analysis
抽取时频分布图像脊-Hough变换算法及其性能分析

After analyzing the principle and the shortcoming of detection and parameters estimation for the multi component Chirps signal based on the bilinear time frequency distribution Hough transform, an improved method has been proposed in this paper, which the bilinear time frequency distribution of the multi component Chirps signal is regarded as an image, and ridges extraction operation is applied to the image and then the principle of detecting the line of Hough transform is used. The simulation results have shown that the proposed method not only can eliminate false detection resulted from pretense peak value of the cross term and shorten the time of executing Hough transform, but can also increase the accuracy of detection and parameters estimation and reduce noisy interference.