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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Veröffentlicht in:	Journal of engineering (Stevenage, England) Jg. 2019; H. 19; S. 6278 - 6281
Hauptverfasser:	Zhang, Chengyan, Fu, Xiongjun, Chen, Xu, Peng, Shuilian, Min, Xie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.10.2019 Wiley
Schlagworte:	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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Zusammenfassung:	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