带反馈信息的纯方位水下分布式融合算法

Bearings-only Underwater Distributed Fusion Algorithm with Feedback Information

针对水下被动目标跟踪的特点,为了改善跟踪性能,本文研究纯方位水下分布式模型中多传感器的状态估计技术。参照雷达系统中的反馈机制,在观测平台有效机动的情况下,利用多传感器量测的方位序列进行状态估计融合。仿真结果表明,融合中心能够完成对目标的状态估计,且引入反馈机制可以明显改善局部传感器的估计精度。这为水下被动目标跟踪的实现,提供了工程应用参考。

According to the characteristics of underwater passive target tracking, the technology of multi-sensor state estimation in bearings-only underwater distributed model is studied in this paper in order to improve tracking performance. According to the feedback mechanism in radar systems, state estimation from multi-sensors bearing sequences is fused on condition that observer platform makes efficient maneuvers. The simulation results show that the multi-sensor data fusion can not only complete the state estimation but also greatly improve the tracking performance of local sensors by using feedback mechanism. It offers reference to underwater passive target tracking.