基于数据关联的多雷达点迹融合算法研究

Research on multi-radar point track fusion algorithm based on data association

摘要:

在典型应用场景下,针对传统数据关联算法易于产生目标跟踪丢失的问题,提出了并行多传感器联合概率数据关联算法(PMSJPDA),给出行多传感器联合概率数据关联算法的实现流程,并对该算法进行理论分析。最后采用两部典型雷达构成PMSJPDA数据融合系统,对其算法的目标跟踪精度进行仿真,仿真结果表明,所提出算法可有效改善对目标的跟踪性能,提高了对目标的跟踪精度。

Abstract:

In the typical application scenario with dense targets, aiming at the problem that the traditional data association algorithm is easy to generate target tracking loss, the PMSJPDA is proposed, and the algorithm is theoretically studied. Finally, the performance of the data fusion algorithm is simulated and verified in the shipboard application scenarios. Simulation results show that the proposed algorithm can effectively improve the tracking performance and accuracy of the target.