Memetic优化的外辐射源雷达方位-多普勒定位方法

doi:10.3969/j.issn.1001-2400.2012.04.009

Abstract

Abstract:

As the fast and high accurate location information is difficult to obtain in passive radar systems, this paper proposes a passive radar location algorithm based on Memetic optimization by using the bearing-and-Doppler frequency, which is the first time to introduce the Memetic algorithm to the passive location field. With a newly designed decreasing direction as the Memetic local search strategy, the target location is transformed to a problem of function optimization. Experimental results validate that the new algorithm, realizing a fast and high accurate target location, can not only retain the relative error under a low level so that the location accuracy can approach the Cramer-Rao Bound steadily, but also converge to the optimal solution more rapidly than evolutionary algorithm location.

Key words: passive radar, Memetic algorithm, local search, Cramer-Rao Bound (CRB), evolutionary algorithm

CLC Number:

TN958.97

TONG Fei;WANG Jun;LI Hongwei. Novel passive radar location algorithm based on Memetic optimization by using the bearing-and-Doppler frequency[J].J4, 2012, 39(4): 46-51+102.

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Novel passive radar location algorithm based on Memetic optimization by using the bearing-and-Doppler frequency

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