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检测前跟踪(TBD)方法能够有效地检测弱小目标从而提高雷达作用距离,但其计算量较大,制约其在工程中的应用。针对上述问题,文中提出了一种改进的外推动态规划TBD方法。将数据先经过恒虚警处理来减少待处理的状态,在后面的递推积累阶段,对邻帧关联不上的状态进行隔帧搜索,以降低失跟的概率。经蒙特卡洛仿真表明,该方法在提高运算速度的同时能够保证检测性能。
The TBD method can effectively detect weak targets and improve the radar range, but its computational complexity is large, which limits its application in engineering. In view of the above problems, this paper presents an improved TBD method for dynamic programming. The data is processed through CFAR to reduce the pending state. In the subsequent recursive accumulation stage, the frame-by-frame search is performed on the unreachable neighboring frames in order to reduce the probability of losing the heel. The Monte Carlo simulation shows that this method can improve the performance of the detection while improving the computing speed.