Abstract:

Aiming at the complexity and intersection of separation and extraction on radar multi-target echo, an algorithm based on the adaptive vision cluster and Viterbi algorithm is proposed. Based on time frequency analysis, the adaptive vision processing is firstly implemented by analyzing the change trend of micro Doppler information. Food concentration sequence in different field of vision scope is obtained in every time. Then 0-1 code sequences are gained by cluster. Meanwhile, 0-1 code sequences are registered with the Viterbi algorithm to obtain optimal matching path. The multi-target separation and extraction is implemented. The simulation result indicates that the proposed method can overcome the interference of intersection region and noise, and is suitable for the complex scattering model. Thus the proposed method is implementing the multi-target resolution and microDoppler extraction well.