计算机工程与应用Issue(12)：266-270,5.DOI:10.3778/j.issn.1002-8331.1206-0247
模拟退火遗传算法在DOA估计技术中的应用
Application of simulated annealing genetic algorithm in DOA estimation technique
贾伟娜 1刘顺兰1
作者信息
- 1. 杭州电子科技大学 通信工程学院，杭州 310018
- 折叠
摘要
Abstract
The simulated annealing genetic algorithm is a new global optimization algorithm, and it is formed by integrating the simulated annealing into the genetic algorithm. Then the simulated annealing genetic algorithm is applied to the WSF algorithm of DOA estimation technique, in order to reduce the complexity of WSF algorithm and improve the DOA estima-tion precision. At the same time, the new algorithm can solve the low efficiency and easily falling into local optimum prob-lems of the basic genetic algorithm in DOA estimation. Computer simulation results show that, compared with the basic genetic algorithm, gauss-newton method, the DOA estimation technique based on simulated annealing genetic algorithm has higher resolution probability and smaller mean square error.关键词
遗传算法/模拟退火算法/波达方向(DOA)Key words
genetic algorithm/simulated annealing genetic algorithm/Direction Of Arrival(DOA)分类
信息技术与安全科学引用本文复制引用
贾伟娜,刘顺兰..模拟退火遗传算法在DOA估计技术中的应用[J].计算机工程与应用,2014,(12):266-270,5.
