针对异步雷达组网下的协同跟踪问题提出了一种基于异步顺序融合的动态传感器分配算法。该算法对异步雷达的量测值按采样时刻顺序滤波,根据滤波协方差和目标期望协方差的接近程度动态选择下一时刻跟踪的最优传感器集合。仿真分析表明该算法和基于伪量测的异步雷达组网协同跟踪传感器分配算法相比具有较少的计算量和较高的目标跟踪精度。
A dynamic sensor allocation algorithm based on the sequential asynchronous fusion for collaborative tracking system in the asynchronous radar networks is proposed. The algorithm estimates the target states with the sequential filtering fusion of asynchronous sampling measurements and selects the optimal sensor sets based on the difference between the expected covariance and the filtering covariance dynamically. Simulation analysis show that the proposed algorithm has lower computational load and higher target tracking accuracy compared with the dynamic sensor allocation algorithm based on pseudo-measurements.