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passive location - angle information - least squares - total least squares - constrained total least squares - structured total least squares - Kalman filter - singular value decomposition - QR decomposition |
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The structured total least squares algorithm research for passive location based on angle information
WANG Ding, ZHANG Li, WU Ying
Institute of Information Engineering, PLA Information Engineering University, Zhengzhou, 450002, China
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.