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带二次约束的容积卡尔曼目标跟踪算法

王睿 杨晓峰 彭力

计算机工程与应用2017,Vol.53Issue(1):142-146,5.
计算机工程与应用2017,Vol.53Issue(1):142-146,5.DOI:10.3778/j.issn.1002-8331.1503-0371

带二次约束的容积卡尔曼目标跟踪算法

Target tracking algorithm based on cubature Kalman filter with quadratic equality constraints

王睿 1杨晓峰 1彭力1

作者信息

  • 1. 江南大学 物联网工程学院,江苏 无锡 214122
  • 折叠

摘要

Abstract

In order to improve the tracking precision of moving target with quadratic equality constraints, a target tracking method based on cubature Kalman filter for systems with quadratic equality constraints is proposed. Firstly, the posteriori estimate is obtained by using the cubature Kalman filter. Then through regarding the quadratic constraints as the measurement equation, a satisfied amendment is obtained for the posteriori estimate. Finally a simulation experiment is carried out to test the performance of the algorithm. The simulation results show that, compared with the traditional constraint Kalman filtering algorithm, the proposed algorithm has improved accuracy and stability of target tracking.

关键词

单站无源定位/容积卡尔曼滤波/二次等式约束

Key words

single station passive location/cubature Kalman filter/quadratic equality constraint

分类

信息技术与安全科学

引用本文复制引用

王睿,杨晓峰,彭力..带二次约束的容积卡尔曼目标跟踪算法[J].计算机工程与应用,2017,53(1):142-146,5.

基金项目

江苏省产学研联合创新资金-前瞻性联合研究项目(No.BY2013015-33, No.BY2014024, No.BY2014023-362014, No.BY2014023-25)。 ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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