Title :
Optimizing the Architecture of Planar Phased Array by Improved Genetic Algorithm
Author :
Hang, Hu ; Weicheng, Qin ; Shuo, Feng
Author_Institution :
Harbin Inst. of Technol., Harbin
Abstract :
An architecture optimizing method in planar phased array is given based on genetic algorithm (GA). Pattern sidelobe is improved by optimizing array architecture via division of subarrays. Analyze subarray pattern and give out the flow chart of subarray segmentation. By adaptive crossover operator and independent genetic operation, traditional GA is improved. Convergence speed is accelerated and calculation efficiency is enhanced remarkably. Simulations of segmenting 24times28 array into 50 subarrays are provided. Pattern sidelobe is improved by 14.22 dB after 60 generations of GA.
Keywords :
antenna phased arrays; antenna radiation patterns; genetic algorithms; planar antenna arrays; adaptive crossover operator; genetic algorithm; independent genetic operation; pattern sidelobe; planar antenna phased array; subarray segmentation; Antennas and propagation; Biological cells; Communications technology; Electromagnetic compatibility; Genetic algorithms; Microwave antenna arrays; Microwave propagation; Microwave technology; Optimization methods; Phased arrays; adaptive crossover operator; improved genetic algorithm; planar phased array; subarray segmentation;
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2007 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-1045-3
Electronic_ISBN :
978-1-4244-1045-3
DOI :
10.1109/MAPE.2007.4393712
