低副瓣相控阵天线量化幅度权值设计

本文首先推导出了加权宽度相等时一维线阵最优量化权值满足的近似公式.当加权宽度不等时,理论分析比较困难,引入粒子群优化(Particle Swarm Optimization,PSO)算法.首先设计出处理加权宽度的约束整数PSO算法,在此基础上提出了一种联合处理量化权值和加权宽度的串联PSO算法结构.仿真实验验证了本文方法的有效性.文章的最后还讨论了量化权值误差对天线低副瓣性能的影响,以及二维平面阵的设计.

Design of Quantized Amplitude Weights for Low Sidelobe Phased Array Antennas

The approximate formulas for optimal quantized amplitude weights are firstly derived on condition of equally step widths.When step widths are not equal,particle swarm optimization(PSO) algorithm is introduced.The algorithm is modified to cope with the constrained conditions for integer variables,which correspond with step widths.An efficient series-PSO algorithm is proposed to solve the optimization problem.Simulation experiment shows the efficiency of the series-PSO algorithm.Finally,the influence of quantized amplitude weights error to sidelobe level and the design of planar array antennas are discussed.