Target Tracking with Random Time-delay Measurements

被引：0
|
作者：
Huang, Jue [1 ]
Yan, Bing [1 ]
Li, Dong [2 ]
机构：
[1] Naval Univ Engn, Dept Weaponry Engn, Wuhan 430033, Hubei, Peoples R China
[2] Naval Univ Engn, Coll Sci, Wuhan 430033, Hubei, Peoples R China
来源：
PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL | 2016年 / 67卷
关键词：
target tracking; delayed measurements; Kalman Filter; current state; Monte Carlo simulations;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of target tracking with the delayed measurements is investigated in this paper. In many practical applications, the measurements may be randomly delayed. In these cases, the standard Kalman Filter cannot be used directly to estimate current states. A novel algorithm based on the delayed measurement is proposed to estimate the current states. In the algorithm, the equivalent delayed measurement is presented as a function of the current state. Then the Kalman Filter which the process noise and the measurement noise are correlative has been deduced. Monte Carlo simulations have been designed and the results verify the effectiveness of the algorithm.
引用
收藏
页码：1356 / 1361
页数：6
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