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基于协方差旋转变换的目标跟踪算法
引用本文:邹冈,石章松,刘忠.基于协方差旋转变换的目标跟踪算法[J].电光与控制,2008,15(5):20-23.
作者姓名:邹冈  石章松  刘忠
作者单位:海军工程大学电子工程学院指挥自动化系,武汉,430033;海军工程大学电子工程学院指挥自动化系,武汉,430033;海军工程大学电子工程学院指挥自动化系,武汉,430033
基金项目:海军工程大学校科研和教改项目
摘    要:针对EKF对初值选取的敏感性和线性化误差较大等问题,根据目标初始距离可能分布,进行距离区间的分割,建立每区间所对应的滤波模型;利用协方差旋转变化原理,确定旋转变换的近似矩阵;分析这种近似处理的误差,提出基于协方差旋转变换的多模型滤波算法,采用蒙特卡罗方法进行了仿真计算。

关 键 词:目标跟踪  纯方位  多模型  滤波
文章编号:1671-637X(2008)05-0020-04
修稿时间:2006年7月10日

A target tracking algorithm based on covariance rotated transform
ZOU Gang,SHI Zhang-song,LIU Zhong.A target tracking algorithm based on covariance rotated transform[J].Electronics Optics & Control,2008,15(5):20-23.
Authors:ZOU Gang  SHI Zhang-song  LIU Zhong
Abstract:Extended Kalman Filter(EKF) is sensitive to initial value selection and has high linear error.According to the initial range to where the underwater target may locate,we divided the initial range into sections(sub-ranges).Filtering models were built up for each section correspondingly.The covariance rotated transform approximate matrix was constructed by use of the principle of covariance rotated transform.After analyzing the errors of the approximating process,a single platform bearings-only target tracking algorithm based on covariance rotated transform was put forward.Monte Carlo method was used for simulation.The result showed that the algorithm is effective,stable and has high accuracy.
Keywords:target tracking  bearings-only  multiple model  filter
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