Title :
Advanced optimization for subarray structure in electronic warfare environment
Author :
Yang Zhitao ; Hu Hang ; Wang Dan ; Qin Weicheng
Author_Institution :
Sch. of Electron. & Inf. Technol., Harbin Inst. of Technol., Harbin, China
Abstract :
Advanced Genetic Algorithm (AGA) is an algorithm that could be beneficial to both the jammer suppression and subarray structure, which could obtain an array structure with relatively concentrated subarray structure and better jammer suppression. The structure of subarray level optimization is analyzed and the signal model is presented. Subarray level optimization could suppress jammer effectively; compared with conventional genetic algorithm at subarray level (only adaptive processing in jammer), better subarray structure gained and the cost of hardware could be reduced remarkably. Simulation results demonstrate the validity of the introduced approach.
Keywords :
genetic algorithms; interference suppression; jamming; phased array radar; advanced genetic algorithm; advanced optimization; electronic warfare environment; jammer suppression; phased array radar system; subarray level optimization; subarray structure; Antennas; Arrays; Genetic algorithms; Jamming; Mathematical model; Optimization; Radar; advanced genetic algorithm; jammer; optimization; phased array at subarray level;
Conference_Titel :
Microwave Technology & Computational Electromagnetics (ICMTCE), 2013 IEEE International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICMTCE.2013.6812462