DocumentCode
2702615
Title
Real-Number and Binary Multi-Objective Particle Swarm Optimizations: Aperiodic Antenna Array Designs
Author
Jin, Nanbo ; Rahmat-Samii, Yahya
Author_Institution
Dept. of Electr. Eng., California Univ., Los Angeles, CA
fYear
2006
fDate
9-14 July 2006
Firstpage
3523
Lastpage
3526
Abstract
A classic engineering problem, the design of aperiodic antenna arrays, is revisited in this paper by applying real-number and binary MOPSO algorithms. The peak SLL and other design criteria such as the beamwidth and the element number are traded off to find the best design strategy. The effectiveness of the algorithms is validated by comparing the optimization results with conventional periodic arrays and existing methodologies such as the statistical density tapering
Keywords
antenna arrays; antenna theory; particle swarm optimisation; periodic structures; statistical analysis; aperiodic antenna array designs; binary multi-objective particle swarm optimization; peak SLL; periodic arrays; real-number multi-objective particle swarm optimization; statistical density tapering; Algorithm design and analysis; Antenna arrays; Design methodology; Design optimization; Fabrication; Iterative algorithms; Iterative methods; Linear antenna arrays; Pareto optimization; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location
Albuquerque, NM
Print_ISBN
1-4244-0123-2
Type
conf
DOI
10.1109/APS.2006.1711378
Filename
1711378
Link To Document