微粒群算法优化设计宽带微带天线

Designning of A Broadband Microstrip Antenna Using Particle Swarm Optimization

微粒群(PSO)算法具有概念简单、容易实现及收敛速度快等优点,离散二进制PSO是PSO在二进制空间的扩展。将离散二进制PSO算法与FDTD法相结合来优化设计宽频带微带天线,以矩形微带贴片天线为例,仿真结果显示,在将PSO算法中的微粒维数分别设置为20维和64维的情形下,通过对天线贴片形状的优化,天线的-10dB带宽由原来的4.4%左右拓宽至大约13.8%和14.5%,优化成效显著。

The significant feature of particle swarm optimization （PSO） is simpler expression, less parameters and easier operation. The discrete binary PSO is an extension of standard PSO on binary system. In this paper, discrete binary PSO combined with FDTD method is applied to design a broadband microstrip antenna. As an example, a rectangular microstrip patch antenna was optimized, and when the dimension sizes was set to 20 and 64, test results showed the bandwidth at - 10dB of antenna was expanded from about 4.4% to 13.3% and 14.5%.