[1]刘学,焦淑红.基于迭代CDKF的单站无源定位算法[J].深圳大学学报理工版,2011,28(No.2(095-188)):147-153.
 LIU Xue and JIAO Shu-hong.Iterated CDKF for single observer passive location[J].Journal of Shenzhen University Science and Engineering,2011,28(No.2(095-188)):147-153.
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基于迭代CDKF的单站无源定位算法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第28卷
期数:
2011年No.2(095-188)
页码:
147-153
栏目:
电子与信息工程
出版日期:
2011-03-20

文章信息/Info

Title:
Iterated CDKF for single observer passive location
文章编号:
1000-2618(2011)02-0147-07
作者:
刘学焦淑红
哈尔滨工程大学信息与通信工程学院,哈尔滨 150001
Author(s):
LIU Xue and JIAO Shu-hong
College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,P.R.China
关键词:
单站无源定位Gauss-Newton方法Levenberg-Marquardt优化方法中心差分卡尔曼滤波算法现代信息战
Keywords:
single observer passive locationGauss-Newton methodLevenberg-Marquardt methodcentral difference Kalman filtermodern information war
分类号:
TN 957.51
文献标志码:
A
摘要:
针对单站无源定位系统存在滤波稳定性差、收敛速度慢和定位精度差等问题,提出一种迭代中心差分卡尔曼滤波算法.在迭代判决准则的约束下,重复利用观测信息对状态向量和误差协方差矩阵进行迭代估计使其更趋向真实值,同时用Levenberg-Marquardt优化方法调整预测误差协方差阵,保证算法的全局收敛.仿真结果表明,在不同参数测量精度条件下,该算法稳定性、收敛速度和定位精度较好.
Abstract:
A new novel iterated central difference Kalman filter algorithm was presented to solve the issues of the filter in the single observer passive location system, such as bad stability, slow convergence speed and poor locating accuracy. In the iterative sentencing guideline constraints, the new algorithm can generate more accurate and reasonable estimation of the state vector and error covariance matrix by reusing the observation information. The Levenberg-Marquardt optimization method is used to adjust the forecast error covariance matrix.This ensures the global convergence of the algorithm. Simulation results show that the new algorithm has stabler performance, larger convergence speed and higher locating accuracy in different scenarios.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2010-04-08;修回日期:2010-11-10
基金项目:国家重点基础研究发展计划资助项目(61393010101-1)
作者简介:刘学(1983-),男(汉族),黑龙江省大庆市人,哈尔滨工程大学博士研究生.E-mail:liuxue002@163.com
通讯作者:焦淑红(1966-),女(汉族), 哈尔滨工程大学教授、博士生导师.E-mail:jiaoshuhong@sina.com
更新日期/Last Update: 2011-03-28