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。

A track-before-detect(TBD) algorithm is efficient for weak target detection,so it can be used for increasing the maximum radar range. But the application of TBD is restricted because of its large computation. Considering to reduce the elapsed time of TBD, a improved dynamic programming based TBD algorithm is presented, in which the states are reduced by using CFAR processing and the detect probability is excellent by alternate-frame paths researching in addition to recursion phase. Monte-Carlo simulation results show the method is rapid with good detectability.

TN953