计算机工程与应用2017，Vol.53Issue(17)：41-46,6.DOI:10.3778/j.issn.1002-8331.1604-0347
采用柯西分解降噪的目标跟踪方法
H-infinity filtering tracking method using Cauchy decomposition
摘要
Abstract
In order to promote the target tracking accuracy in noise circumstance, this paper proposes an improved unscented H-infinity filter method based on Cauchy decomposition. First of all, Unscented(UT)transform is used to replace the complex Jacobi matrix calculation within the framework of the extended H-infinity filtering. The method reduces the approximate truncation errors, and improves the ability to deal with nonlinear system. Second, this method adopts diagonal elements to decompose the root mean square of state covariance matrix. This decomposition method reduces the effect of observation noise variance to filtering estimation precision effectively. The simulation results show that the proposed method obviously improves the object tracking accuracy and stability in different noise statistical properties.关键词
目标跟踪/噪声统计特性/无迹变换/柯西分解/H∞滤波Key words
object tracking/noise statistical properties/unscented transform/Cauchy decomposition/H-infinity filtering分类
信息技术与安全科学引用本文复制引用
程志辉,黄宇..采用柯西分解降噪的目标跟踪方法[J].计算机工程与应用,2017,53(17):41-46,6.基金项目
国家自然科学基金(No.51179197). （No.51179197）
