Local radon transform based separation of multi-components rotating target
Chao Wang, Wen Shu-liang, Chun-mao Yeh · 2016
The rotating complex target can be regarded as an overlapped multi-components signal in range-slow time domain or frequency-slow time domain. To analysis the movement forms and extract the signature of the target, we should separate the multi-components of the signal first. This paper develops an association algorithm based on local radon transform in the frequency-slow time domain. Based on the windowed linear extrapolation in common process, we use radon transform near the interference and breaking points of the tracking curve to increase the stability of the association. And combining the least square fitting and CLEAN method, the multi-components can be separated successfully. The proposed method shows the good performance on the simulated data in the experiments.