针对多雷达多目标场景下现有雷达-目标分配算法中存在传感器切换率过高、算法耗时过长的问题,文中提出一种基于选择回溯的雷达-目标分配方法。该方法首先根据目标位置、雷达散射截面积大小等信息计算下一时刻雷达能够稳定跟踪目标的概率;选择其中概率较高,即失跟风险较低目标并直接沿用上一时刻分配结果以降低算法计算量;对概率较低,即失跟风险较高目标进行重新分配以提高跟踪稳定性;在分配过程中,当雷达资源出现饱和时采用“回溯”操作对已分配目标进行再分配以提高算法性能。仿真实验表明,与传统分配方法相比,所提方法能充分利用上一时刻分配结果,兼顾考虑了算法性能与复杂度,综合性能较优。

To solve the problem of frequent radar switching and large calculation amount in the radar-target assignment for multi-radar multi-target scene, a radar-target assignment algorithm based on selective and backtracking strategy is proposed in this paper. Firstly, the probability that the target is stably tracked at the next moment is predicted based on target current location and RCS. Secondly, the targets with higher probability of stable tracking which mean a lower risk of losing tracks are selected and assigned according to the previous moment assignment to reduce the computational complexity of the algorithm. Then the other targets will be reassigned to improve tracking stability. When the radar resources are saturated during the allocation process, a backtracking operation is used to reassign allocated targets to improve algorithm performance. The simulation experiments show that compared with the traditional algorithm, the algorithm in this paper can fully consider the distribution results of the previous moment and balance the performance and complexity. Therefore, the overall performance of proposed algorithm is better than other algorithms.

TN957. 52

国家社科基金资助项目(2020-SKJJ-C-035)