Title :
Broadband Matching Network Design for Antennas Using Invasive Weed Optimization Algorithm
Author :
Huaning Wu ; Chao Liu
Author_Institution :
Dept. of Commun. Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
In this paper, an Invasive Weed Optimization (IWO) algorithm has been proposed for designing antennas in broadband matching networks. The broadband matching network over the band 5-30MHz has been specifically designed based on our proposed IWO algorithm. According to the results of the optimization, we use ADS simulation software to analyze the electrical characteristics in the broadband matching networks. Results show that the network has very good broadband impedance characteristics, which demonstrates the effectiveness of our IWO algorithm in the design of broadband matching network.
Keywords :
HF antennas; broadband antennas; broadband networks; design engineering; electrical engineering computing; impedance matching; military communication; military computing; optimisation; spread spectrum communication; telecommunication computing; telecommunication security; ADS simulation software; IWO algorithm; antennas; bandwidth 5 MHz to 30 MHz; broadband impedance characteristics; broadband matching network design; electrical characteristic analysis; frequency hopping; invasive weed optimization algorithm; military communication system; spread spectrum technology; tactical secure communications; Algorithm design and analysis; Bandwidth; Broadband antennas; Broadband communication; Impedance; Optimization; ADS; Broadband Matching Network; IWO;
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2013 International Conference on
Conference_Location :
Beijing
DOI :
10.1109/CyberC.2013.92
