基于同步提取变换和脊线检测的空间锥体目标 微多普勒特征提取方法

To solve the problem of the tracking mistakes at curve intersections of micro-Doppler (m-D) in m-D extraction of the space coning target, an m-D feature extraction method based on synchro-extracting transform (SET) and ridge detection is proposed. Firstly, the algorithm obtains the energy-concentrated time-frequency image through SET technology. Secondly, the sinusoidal m-D curve generated at the top of the coning target can be extracted by the Hough transform. Then, the extracted top m-D curve is subtracted from the time-frequency image based on the CLEAN idea. Finally, the non-sinusoidal m-D curve at the bottom of the coning target can be extracted by the ridge detection algorithm based on the improved crazy climber algorithm and Kalman filter. Simulation results show that the proposed algorithm can avoid the problem of tracking mistakes at the intersection of m-D curves, and then accurately extract the m-D features.