| Constrained total least squares algorithm for passive location based on bearing-only measurements |
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| 作者单位： | WANG Ding（Department of Communication Engineering, Information Engineering University of PLA, Zhengzhou 450002, China） ;
ZHANG Li（Department of Communication Engineering, Information Engineering University of PLA, Zhengzhou 450002, China） ;
WU Ying（Department of Communication Engineering, Information Engineering University of PLA, Zhengzhou 450002, China） ; |
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| 摘 要： | The constrained total least squares algorithm for the passive location is presented based on the bearing-only measurements in this paper. By this algorithm the non-linear measurement equations are firstly transformed into linear equations and the effect of the measurement noise on the linear equation coefficients is analyzed, therefore the problem of the passive location can be considered as the problem of constrained total least squares, then the problem is changed into the optimized question without restraint which can be solved by the Newton algorithm, and finally the analysis of the location accuracy is given. The simulation results prove that the new algorithm is effective and practicable.
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| 收稿时间： | 1 November 2005 |
| 修稿时间： | 16 May 2006 |
Constrained total least squares algorithm for passive location based on bearing-only measurements |
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| Authors: | Wang Ding Zhang Li Wu Ying |
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| Affiliation: | Department of Communication Engineering, Information Engineering University of PLA, Zhengzhou 450002, China |
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| Abstract: | The constrained total least squares algorithm for the passive location is presented based on the bearing-only measurements in this paper. By this algorithm the non-linear measurement equations are firstly transformed into linear equations and the effect of the measurement noise on the linear equation coefficients is analyzed, therefore the problem of the passive location can be considered as the problem of constrained total least squares, then the problem is changed into the optimized question without restraint which can be solved by the Newton algorithm, and finally the analysis of the location accuracy is given. The simulation results prove that the new algorithm is effective and practicable. |
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| Keywords: | passive location constrained total least squares algorithm Newton algorithm |
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