摘要
In order to improve the tracking performance in this paper following TBD(Track before Detection) framework multi-level crossover and matching operator is presented.In data association stage the greedy principle is adopted to handle time complexity in DPA and at the same time crossover mathing operator is given to construct candidate trajectory.In addition the corresponding strategy is introduced in preprocessing and postprocessing to remove clutter and suppress false alarm rate.By the experimental comparison and analysis it can be found that the method is more perfer to strengthen the tracking performance of targets with SNR < 2.0 dB.
In order to improve the tracking performance in this paper following TBD （ Track before Detection） framework multi-level crossover and matching operator is presented. In data association stage the greedy principle is adopted to handle time complexity in DPA and at the same time crossover mathing operator is given to construct candidate trajectory. In addition the corresponding strategy is introduced in preprocessing and post- processing to remove clutter and suppress false alarm rate. By the experimental comparison and analysis it can be found that the method is more perfer to strengthen the tracking performance of targets with SNR 〈 2.0 dB.
基金
Sponsored by the Young Talent Program of Fujian Province (Grant No.2007F3097)
