目标跟踪的约束两级卡尔曼滤波

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI:10.1109/ICCKE.2014.6993432

Mohammad-Reza Khabbazi, R. M. Esfanjani

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引用次数: 2

摘要

本文研究了一类不确定线性系统的状态估计问题，该系统的先验已知信息为等式约束形式。采用系统投影思想开发了一种满足状态约束的鲁棒两级卡尔曼滤波器。利用该方法解决了目标跟踪问题。仿真结果表明，该两级滤波器优于标准约束卡尔曼滤波器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Constrained two-stage Kalman filter for target tracking

This note investigates the problem of state estimation for an uncertain linear system with a priori known information in the form of equality constraints. System projection idea is employed to develop a robust two-stage Kalman filter satisfying state constraints. The proposed method is utilized to solve the target tracking problem. Simulation results illustrate that the proposed two-stage filter outperforms the standard constrained Kalman filter.

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2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

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