Direction of Arrival Estimation Based on Maximum Likelihood Criteria Using Gravitational Search Algorithm

摘要：

　　In this paper,a new heuristic optimization algorithm called Gravitational Search Algorithm(GSA)is proposed for Direction of Arrival(DOA)estimation method based on maximum likelihood(ML)criteria for a Uniform Circular Array(UCA)of 12 elements.The results are compared with those obtained using Particle Swarm Optimization(PSO)and MUSIC algorithms in terms of Root Mean Square Error(RMSE).

作者: Ahmed Magdy K.R.Mahmoud S.G.Abdel-Gawad I.I.Ibrahim

作者单位: Department of Electronics,Communications and Computers Faculty of Engineering,Helwan University,Cairo,Egypt

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2013(2013年电磁学研究新进展学术研讨会)

会议地点: 台北

会议语种:英文

页码: 1162-1167

在线出版日期: 2013-03-01（万方平台首次上网日期，不代表论文的发表时间）