The structured total least squares algorithm research for passive location based on angle information

被引:62
作者
Wang Ding [1 ]
Zhang Li [1 ]
Wu Ying [1 ]
机构
[1] PLA Informat Engn Univ, Inst Informat Engn, Zhengzhou 450002, Peoples R China
来源
SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES | 2009年 / 52卷 / 06期
关键词
passive location; angle information; least squares; total least squares; constrained total least squares; structured total least squares; Kalman filter; singular value decomposition; QR decomposition;
D O I
10.1007/s11432-009-0114-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
Based on the constrained total least squares (CTLS) passive location algorithm with bearing-only measurements, in this paper, the same passive location problem is transformed into the structured total least squares (STLS) problem. The solution of the STLS problem for passive location can be obtained using the inverse iteration method. It also expatiates that both the STLS algorithm and the CTLS algorithm have the same location mean squares error under certain condition. Finally, the article presents a kind of location and tracking algorithm for moving target by combining STLS location algorithm with Kalman filter (KF). The efficiency and superiority of the proposed algorithms can be confirmed by computer simulation results.
引用
收藏
页码:1043 / 1054
页数:12
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