Unified constrained cascade interactive multi-model filter and its application in tracking of manoeuvring target

被引：4
|
作者：
Xia X. [1 ,2 ]
Liu M. [2 ]
机构：
[1] Department of Mechanical Engineering, Hefei University, Hefei
[2] Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei
来源：
Xia, Xiaohu (xiaxh@hfuu.edu.cn) | 1600年 / Science Press卷 / 39期
基金：
中国国家自然科学基金;
关键词：
Interactive multi-model; Kalman filter; Maneuvering target tracking; State constraints equation;
D O I：
10.11999/JEIT160384
中图分类号：
学科分类号：
摘要：
A novel unified cascade constrained interactive multi-model Kalman filter is put forward. The filter is composed of two cascade connected filters, a standard interactive-multiple-model and a unified constrained filter. The latter is effective for everyone in model set of controlled plant and refines the estimation of the former using smoothly constraint Kalman algorithm. Numerical simulation and flying experiments are made for maneuvering target tracking and lower estimated error and covariance are achieved by the unified cascade constrained interactive multi-model Kalman filter compared with conventional interactive multi-model filter. The added computation cost is reasonable and acceptable. The paper is valuable reference for maneuvering target tracking and interactive multi-model filter. © 2017, Science Press. All right reserved.
引用
收藏
页码：117 / 123
页数：6
相关论文
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