Title :
An Improved PSO Algorithm and Its Application to UWB Antenna Design
Author :
Yan-Liang Li ; Wei Shao ; Long You ; Bing-Zhong Wang
Author_Institution :
Sch. of Phys. Electron., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
An improved particle swarm optimization (PSO) algorithm with a neighborhood-redispatch (NR) technique is presented to design an ultrawideband (UWB) antenna in this letter. Based on the conventional version of PSO algorithm, some new parameters are introduced in the NR-PSO algorithm to improve optimization performance. In order to illustrate the effectiveness of the algorithm in representative topology problems, several benchmark functions are used to test the performance of the improved PSO algorithm. The results show that it is better than the conventional PSO algorithm for multimodal and unimodal functions. Combined with the HFSS solver, one UWB antenna with a respective notched band is designed by using the proposed NR-PSO algorithm. It not only covers the UWB band (3.1-10.6 GHz) and Bluetooth passband (2.40-2.484 GHz), but also realizes a stopband (5.15-5.825 GHz) to avoid potential interferences.
Keywords :
UHF antennas; interference suppression; particle swarm optimisation; ultra wideband antennas; Bluetooth passband; HFSS solver; NR technique; NR-PSO algorithm; UWB antenna design; benchmark functions; frequency 2.40 GHz to 2.484 GHz; frequency 3.1 GHz to 10.6 GHz; improved PSO algorithm; interference avoidance; multimodal functions; neighborhood-redispatch technique; notched band; particle swarm optimization; representative topology problems; ultrawideband antenna design; unimodal functions; Algorithm design and analysis; Bluetooth; Optimization; Particle swarm optimization; Ultra wideband antennas; Wireless LAN; Neighborhood redispatch; particle swarm optimization; slot antenna; ultrawideband;
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2013.2283375