Synthesis of uniformly excited sparse rectangular planar array for sidelobe suppression using multi-objective optimisation algorithm

Here, the multi-objective optimisation algorithm speed-constrained multi-objective particle swarm optimisation is applied to the synthesis of uniformly excited sparse-rectangular planar array with low sidelobe level. Numerical simulations have been conducted to test the performance of multi-objectiv...

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Bibliographic Details
Published in:Journal of engineering (Stevenage, England) Vol. 2019; no. 19; pp. 6278 - 6281
Main Authors: Zhang, Chengyan, Fu, Xiongjun, Chen, Xu, Peng, Shuilian, Min, Xie
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 01.10.2019
Wiley
Subjects:
antenna arrays
antenna radiation patterns
existing synthesis algorithms
IET International Radar Conference (IRC 2018)
linear antenna arrays
lowest maximum sidelobe level
multiobjective optimisation algorithm
optimisation
Pareto optimisation
particle swarm optimisation
planar antenna arrays
sparse-rectangular planar array
speed-constrained multiobjective particle swarm optimisation
synthesis problem
uniformly excited sparse rectangular planar array
Pareto optimisation
particle swarm optimisation
sparse-rectangular planar array
existing synthesis algorithms
uniformly excited sparse rectangular planar array
speed-constrained multiobjective particle swarm optimisation
planar antenna arrays
optimisation
antenna radiation patterns
antenna arrays
synthesis problem
multiobjective optimisation algorithm
lowest maximum sidelobe level
linear antenna arrays
ISSN:2051-3305, 2051-3305
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Description
Summary:Here, the multi-objective optimisation algorithm speed-constrained multi-objective particle swarm optimisation is applied to the synthesis of uniformly excited sparse-rectangular planar array with low sidelobe level. Numerical simulations have been conducted to test the performance of multi-objective optimisation algorithm when used in this synthesis problem, and resulting radiation patterns are compared with those from other existing synthesis algorithms in literatures. Comparative results illustrate that the proposed algorithm has obtained the lowest maximum sidelobe level (MSLL) in φ = 0 plane (φ is the elevation angle) of radiation pattern combined with the lowest maximum MSLL in φ = π/2 plane. In addition, convergence performance of the multi-objective optimisation algorithm when used in this synthesis problem has also been investigated here.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2019.0263