Quantum Particle Swarm Optimization for Integer Programming of Phased Array Feeds
This paper studies pattern optimization of an offset parabolic reflector antenna with phased array feeds. Considering quantization requirements, to solve optimum weight vector of phased array feeds can be modeled as integer programming problem, which is optimized with the quantum particle swarm optimization (QPSO)algorithm. The optimization with QPSO to determine the quantized element weights is found to yield excellent performance of an offset parabolic reflector antenna, with limited beam electronically scanning and nulling capability. Numerical results of convergence for the QPSO algorithm and the classical particle swarm optimization (CPSO)algorithm are shown and discussed.
Wei SHI Quansheng ZHANG Hui DU
Nanjing Telecommunication Technology Institute, Nanjing 210007, China Military Representative Office Stationed in the 710 Factory, Wuhan 430010, China Air Defense Forces Command Academy, Zhengzhou 450052, China
国际会议
成都
英文
1386-1389
2010-05-08(万方平台首次上网日期,不代表论文的发表时间)