现代电子技术2016，Vol.39Issue(8)：26-29,4.DOI:10.16652/j.issn.1004-373x.2016.08.007
引入蝙蝠算法的最大似然DOA估计
Introduction of bat algorithm into maximum likelihood DOA estimation
摘要
Abstract
The maximum likelihood(ML)direction⁃of⁃arrival(DOA)method can estimate the angle of object direction ac⁃curately,and has an excellent performance and high stability,which is the better one in the traditional algorithms based on DOA estimation. Compared with MUSIC and other subspace decomposition class methods,the ML DOA estimation algorithm has more outstanding superiority when signal⁃to⁃noise ratio(SNR)is lower and snapshot signal is smaller. However,it is blocked in the engineering application due to its high complexity. To reduce the heavy computational burden of ML method and make it more suitable for engineering applications,the bat algorithm and the maximum likelihood algorithm are integrated to estimate sig⁃nal DOA. The advantages of optimal search path and strong search capability of the bat algorithm are used to search the global optimal value of likelihood function quickly. The simulation results demonstrate that the bat algorithm can overcome the prob⁃lems existing in the maximum likelihood DOA estimation,such as large amount of calculation and high computation complexity. Compared with other typical bionic intelligent algorithms,this method has better convergence.关键词
DOA估计/最大似然估计/蝙蝠算法/仿生智能算法Key words
direction of arrival estimation/maximum likelihood/bat algorithm/bionic intelligent algorithm分类
信息技术与安全科学引用本文复制引用
冯舒,张志成,石要武..引入蝙蝠算法的最大似然DOA估计[J].现代电子技术,2016,39(8):26-29,4.基金项目
国家自然科学基金（51075175；61201368）；吉林省产业技术研究与开发项目 （）
