Sidelobe-level suppression for linear and circular antenna arrays via the cuckoo search–chicken swarm optimisation algorithm

An antenna array application with high directivity and low sidelobe level (SLL) is an important technology that can enhance the reliability and validity of a communication system. In recent years, swarm intelligence optimisation algorithms have been widely used in the design of antenna arrays. In th...

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Veröffentlicht in:IET microwaves, antennas & propagation Jg. 11; H. 2; S. 209 - 218
Hauptverfasser: Liang, Shuang, Feng, Tie, Sun, Geng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 29.01.2017
Schlagworte:
Algorithms
Amplitudes
Antenna arrays
antenna radiation patterns
CAA
chaos theory
circular antenna array
Circularity
communication system
CSCSO
cuckoo search‐chicken swarm optimisation algorithm
Excitation
LAA
Levy flight weight coefficient
linear antenna array
linear antenna arrays
optimisation
Optimization
particle swarm optimisation algorithm
radiation pattern optimisation
reliability
search problems
Searching
sidelobe‐level suppression
SLL suppression
Swarm intelligence
chaos theory
cuckoo search-chicken swarm optimisation algorithm
CAA
Levy flight weight coefficient
particle swarm optimisation algorithm
communication system
SLL suppression
reliability
radiation pattern optimisation
sidelobe-level suppression
LAA
circular antenna array
linear antenna array
optimisation
antenna radiation patterns
CSCSO
search problems
linear antenna arrays
ISSN:1751-8725, 1751-8733
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Zusammenfassung:An antenna array application with high directivity and low sidelobe level (SLL) is an important technology that can enhance the reliability and validity of a communication system. In recent years, swarm intelligence optimisation algorithms have been widely used in the design of antenna arrays. In this study, a hybrid heuristic swarm intelligence optimisation algorithm called cuckoo search–chicken swarm optimisation (CSCSO) is proposed to optimise the excitation amplitude of a linear antenna array (LAA) and the excitation amplitude and spacing between the array elements of a circular antenna array (CAA). The maximum SLL will be obtained while the mainlobe width is fixed. CSCSO combines cuckoo search (CS) and chicken swarm optimisation (CSO) and thus, it will have the excellent global search capability of CS as well as introduce the hierarchy mechanism of CSO to improve algorithm precision. Chaos theory is utilised to determine the initial solution of the algorithm, while Levy flight weight coefficient is used to improve the convergence rate in CSCSO. Simulation results show that CSCSO has a better performance in terms of solution accuracy and convergence rate in the radiation pattern optimisation of LAA and CAA compared with the standard CSO, CS, and particle swarm optimisation algorithms.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1751-8725
1751-8733
DOI:10.1049/iet-map.2016.0083