Location Method of Near Space Radar Network Based on Regularized Constrained Total Least Square: Location Method of Near Space Radar Network Based on Regularized Constrained Total Least Square

The regularized constrained total least square algorithm for near space radar network is discussed in this paper. Firstly the nonlinear equations about range and angle are transformed into linear equations. The influence of error is analyzed by expanding the true range and angle in a first-order Tay...

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Veröffentlicht in:Dian zi yu xin xi xue bao = Journal of electronics & information technology 2011-07, Vol.33 (7), p.1655-1660
Hauptverfasser: Wang, Shen-shen, Feng, Jin-fu, Wang, Fang-nian, Huang, Feng
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container_title Dian zi yu xin xi xue bao = Journal of electronics & information technology
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creator Wang, Shen-shen
Feng, Jin-fu
Wang, Fang-nian
Huang, Feng
description The regularized constrained total least square algorithm for near space radar network is discussed in this paper. Firstly the nonlinear equations about range and angle are transformed into linear equations. The influence of error is analyzed by expanding the true range and angle in a first-order Taylor series. Then the location issue is transformed into a regularized constrained total least square issue. The Lagrange function is used to transform the issue into a non-constrained issue. A proper weight is chosen by the least mean square error rule to obtain the location solution. Location accuracy is analyzed. Simulation results show the effectiveness of the algorithm.
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subjects Algorithms
Constraints
Electronics
Information systems
Least squares method
Position (location)
Radar networks
Taylor series
title Location Method of Near Space Radar Network Based on Regularized Constrained Total Least Square: Location Method of Near Space Radar Network Based on Regularized Constrained Total Least Square
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