Constrained target tracking based on moving horizon estimation

被引：0

作者：

Wei Shanbi ^{[1
]}

Yang Hongwei ^{[1
]}

Chai Yi ^{[1
]}

机构：

[1] Chongqing Univ, Coll Automat, Chongqing 400030, Peoples R China

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

关键词：

moving horizon estimation; target tracking; physical constraints; STATE ESTIMATION; STABILITY;

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：

This paper introduces the moving Horizon Estimation (MHE) using online optimization scheme for moving target tracking problem with physical constraints. The proposed method transforms the constrained target tracking problem into constrained optimal state estimation with finite horizon. The computation burden of MHE is reduced by introducing the arrive cost. At the end of this paper, the Monte Carlo simulation of moving target tracking using MHE is given. The simulation results show that MHE can not only solve the actual constrained moving target tracking, but also increase the tracking accuracy, and have a better effect than Kalman filter.

引用

页码：291 / 295

页数：5

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