Based on the perspective of constrained total least squares information Passive Location Algorithm. The algorithm first observation of nonlinear equations into linear equations, and analysis of observational noise on the coefficient of linear equations, which can be Passive positioning of the equivalent bound for a total least squares problem, and then to have constrained optimization problem into unconstrained optimization problem and use iterative Newton algorithm, and finally an analysis of total least squares algorithm for constrained the positioning error. The computer simulation results verify the feasibility of the algorithm and effectiveness.

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06ze0880.pdf

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