摘要
针对地面机动目标跟踪过程中的多传感器管理问题展开了研究,设计了一种基于跟踪精度控制的多传感器多目标分配方法。首先,在考虑目标与目标之间、目标与传感器之间和传感器与传感器之间等的多种约束条件下运用基于协方差控制的思想建立了多传感器多目标分配问题的优化模型;接着将等价伪量测的异步融合算法与IMM算法结合,计算各目标在不同融合周期的跟踪精度估计值;最后,以目标的跟踪精度需求为出发点,结合蚁群算法的思想,设计了一种求解所建立的多传感器多目标分配问题的优化模型的算法。仿真结果表明:该管理方法能在确保跟踪精度需求的前提下,根据对各目标跟踪任务的重要程度,合理地调度传感器资源。
The multi-sensor management problem is researched against the background of tracking ground maneuvering targets.Based on tracking accuracy control, a multi-sensor multi-target assignment method is proposed. Firstly, an optimizationmodel is established which is based on covariance control and considers multi-restrictions on sensors and targets. Secondly, amethod to estimate each target’s tracking accuracy at different data fusion periods is designed ＂which combines the interactingmultiple model algorithm and asynchronous fusion algorithm based on equivalent pseudo-measurements. At last, an algorithmfor searching feasible assignment scheme for the multi-sensor multi-target assignment problem is designed according to the antcolony algorithm. The simulation results show that under ensuring tracking accuracy precondition, the management methodcan rationally allocate sensors for each target according to the importance of tracking task for each target.
出处
《指挥控制与仿真》
2016年第2期37-42,59,共7页
Command Control & Simulation
关键词
传感器管理
交互多模型
地面机动目标
异步数据融合
蚁群算法
multi-sensor management
IMM
ground maneuvering target
asynchronous data fusion
ant colony algorithm
