被动声探测系统机动当前模型的卡尔曼滤波跟踪算法研究

Study on the Tracking Arithmetic Based on Passive Acoustic Detected System

采用机动“当前”模型对被动声探测目标进行了建模,并提出了采用Kalm an滤波算法作为目标跟踪的主要算法,给出了仿真算法的详细设计流程。从仿真分析可以看出,采用机动当前模型的Kalm an滤波算法可以有效地满足声探测系统的跟踪要求。

This paper majors in the target tracking arithmetic propitious to the passive acoustic detection system. It utilizes the current statistical model and brings out Kalman filter method as the primary arithmetic in the target tracking system. Furthermore, this paper presents the particular emluator design process. It can be shown that the current statistical model based on the Kalman filter is optimum for the acoustic detection system.