用于机动目标跟踪的分布式多传感器异步融合算法

A Distributed Multi-senor Asynchronous Fusion Algorithm for Maneuvering Target Tracking

目前,随着目标机动性能的不断提高,单个传感器越来越难于对目标进行有效地跟踪。分布式多传感器网络是当前国内外研究的热点,也是解决机动目标跟踪的有效途径之一。提出了一种适用于机动目标跟踪的异步融合算法:融合中心采用交互式多模型(IMM)算法,在给定融合周期的基础上,对多传感器数据进行异步融合,得到有效跟踪航路。蒙特卡罗仿真表明,该算法可以有效地改善对机动目标的跟踪性能,可为工程应用提供有益参考。

Due to the improvement of target maneuvering performance, it is difficult to track maneuvering targets validly with a single sensor. Distributed multi-senor network has been a hot research topic in recent years at home and abroad and can be used to track maneuvering targets. A maneuvering target asynchronous fusion algorithm is proposed based on distributed multi-sensor network. Using an interacting multiple model （IMM） algorithm asynchronous dates of multi-sensor can be fused at fusion center with given fusion period. Simulation results illustrate that the algorithm can improve tracking performance for maneuvering targets, which give useful reference for engineering applications.