数据采集与处理2001，Vol.16Issue(1)：23-26,4.
基于实数遗传算法的波达方向最大似然估计算法
Maximum Likelihood DOA Estimation by Real-Valued Genetic Algorithm
摘要
Abstract
The problem of obtaining the high resolution direction of arrival(DOA) estimation of narrow-band sources lying in the far field of the array is one of the central problems in radar, sonar and seismology. To overcome the local optimal problem existing in some maximum likelihood DOA estimation algorithms, improve the estimation accuracy, a global optimal solution of nonlinear maximum likelihood DOA estimation is obtained by real-valued genetic algorithm proposed in this paper. The proposed real-valued genetic algorithm is composed of real-valued crossover and mutation operators constructed with the information of real number field and objective function. And it is an ideal method for searching the global solution of non-linear real variable functions. Simulational results of non-herent and coherent sources DOA estimation show that the algorithm is better in accuracy over some conventional DOA estimation algorithm, such as the well-known alternating projection method.关键词
波达方向估计/最大似然估计/遗传算法/全局优化分类
数理科学引用本文复制引用
严卫,肖奚安,朱兆达..基于实数遗传算法的波达方向最大似然估计算法[J].数据采集与处理,2001,16(1):23-26,4.基金项目
国家自然科学基金 （）
