A maximum likelihood function approach to direction estimation based on evolutionary algorithms

Qiang Yong, Wu Lili, Jiao Licheng
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Abstract

A maximum likelihood method based on evolutionary algorithms (EA) is presented to estimate the direction of arrival (DOA) of coherent signals. For the capability of fast global searching, and independence of initial parameters, this approach offers real time, high resolution in DOA estimation. Simulation results show its efficiency and robust.
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基于进化算法的最大似然函数方向估计方法
提出了一种基于进化算法的最大似然估计相干信号到达方向的方法。该方法具有快速全局搜索能力和初始参数的独立性,可提供实时性、高分辨率的DOA估计。仿真结果表明了该方法的有效性和鲁棒性。
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