English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6481/11653
Visitors : 23359713      Online Users : 196
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11833

Title: Optimizing beam pattern of linear adaptive phase array antenna based on Particle Swarm Optimization
Authors: Hsu, C.-H.;Chen, C.-H.;Shyr, W.-J.;Kuo, K.-H.;Chung, Yi-Nung;Lin, T.-C.
Contributors: 電機工程學系
Keywords: Adaptive antenna;Optimal radiation pattern;Particle Swarm Optimization;Phase-only perturbation;SIR
Date: 2010-12
Issue Date: 2012-07-02T02:11:26Z
Publisher: IEEE
Abstract: In this paper, an innovative optimal radiation pattern of an adaptive linear array is derived by phase-only perturbations using a Particle Swarm Optimization (PSO) algorithm. An antenna array is often made as an adaptive antenna. An optimal radiation pattern design for an adaptive antenna system is not only to suppress interference by placing a null in the direction of the interfering source but also to derive the maximum power pattern in the direction of the desired signal. The Signal Interference Ratio (SIR) can be maximized. The PSO algorithm is a new methodology in this study area, which can handle adaptive radiation pattern of antenna array. In this paper, an optimal radiation pattern of linear array is derived by phase-only perturbations using a PSO algorithm. PSO algorithms will be stated and computed for this problem. Then, the optimal solution can be derived, and simulation results are also presented in this paper.
Relation: 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010, Shenzhen, December 13-15: 586-589
Appears in Collections:[電機工程學系] 會議論文

Files in This Item:

File SizeFormat
index.html0KbHTML419View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback