Pattern synthesis optimization of 3-D ODAR based on improved GA using LSFE method

作     者：龙伟军 贲德 BAKHSHI ASIM D 张弓 

作者机构：College of Information Science and TechnologyNanjing University of Aeronautics & Astronautics Computer EngineeringUniversity of Engineering and Technology 

出 版 物：《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报（英文版）)

年 卷 期：2011年第18卷第1期

页      面：96-100页

核心收录：

学科分类：0810[工学-信息与通信工程] 080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Sponsored by the National Natural Science Foundation of China(Grant No.61071164) 

主　　题：antenna radiation patterns genetic algorithm(GA) opportunistic digital array radar(ODAR) pattern synthesis the least square fitness estimation(LSFE) 

摘      要：Pattern synthesis in 3-D opportunistic digital array radar(ODAR) becomes complex when a multitude of antennas are considered to be randomly distributed in a three dimensional *** order to obtain an optimal pattern,several freedoms must be constrained.A new pattern synthesis approach based on the improved genetic algorithm(GA) using the least square fitness estimation(LSFE) method is *** optimized by this method include antenna locations,stimulus states and phase *** new algorithm demonstrates that the fitness variation tendency of GA can be effectively predicted after several eras by the LSFE *** is shown that by comparing the variation of LSFE curve slope,the GA operator can be adaptively modified to avoid premature convergence of the *** validity of the algorithm is verified using computer implementation.