基于最小化测量误差的被动定位算法

doi:10.3969/j.issn.1001-2400.2010.03.011

Abstract

Abstract:

In the passive localization of multiple passive sensors, there are some constraints among sensors'position, measurement error and measurements. Measurement errors will be reduced if the constraint can be used rationally. The paper derives constraint formulas for measurements of different sensors by means of every sensor's coordinate and corresponding trigonometric function. Then objective functions which regard measurement errors as variables are given. The measurement errors are minimized by the Lagrange-Newton optimization method, and then measurements can be modified. Finally, more accurate results of target localization can be obtained. The proposed algorithm does not need the initial target position and the results did not diverge, and the proposed algorithm has a better localization accuracy. Simulation results verify the effectiveness of the new algorithm.

Key words: data fusion, target localization, passive sensors, constrained optimization, Lagrange-Newton optimization method

CHEN Jin-guang;LI Jie;GAO Xin-bo. Passive localization algorithm for minimizing the measurement error[J].J4, 2010, 37(3): 447-453.

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Passive localization algorithm for minimizing the measurement error

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