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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
引用本文:李杰,尚雅玲,陈文聪,王艳梅. 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[J]. 探测与控制学报, 2006, 28(5): 24-27
作者姓名:李杰  尚雅玲  陈文聪  王艳梅
作者单位:1. 北京理工大学,北京,100081
2. 海军航空工程学院,山东,烟台,264001
摘    要: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Kalman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Kalman滤波算法可以有效地满足声探测系统的跟踪要求。

关 键 词:目标跟踪  Kalman滤波  机动"  当前"  模型
文章编号:1008-1194(2006)05-0024-04
收稿时间:2006-03-17
修稿时间:2006-03-17

Study on the Tracking Arithmetic Based on Passive Acoustic Detected System
LI Jie,SHANG Ya-ling,CHEN Wen-cong,WANG Yan-mei. Study on the Tracking Arithmetic Based on Passive Acoustic Detected System[J]. Journal of Detection & Control, 2006, 28(5): 24-27
Authors:LI Jie  SHANG Ya-ling  CHEN Wen-cong  WANG Yan-mei
Affiliation:1. Beijing Institute of Technology, Beijing 100081, China; 2. Naval Aviation Engineering Academy, Yantai 264001, China
Abstract: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.
Keywords:target tracking   Kalman filter   current statistical model
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