Pattern Synthesis for Different Sparse Planar Arrays by a Hybrid Unconstrained-Heuristic Approach

A hybrid approach that combines the strategy of partial density tapering (PDT) and the multi-objective particle swarm optimization (MOPSO), called PDT-MOPSO, is proposed to address the synthesis of sparse planar arrays (SPAs) of different shapes. By performing the PDT, not only the strong constraint...

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Bibliographic Details
Published in:IEEE antennas and wireless propagation letters Vol. 22; no. 3; pp. 1 - 4
Main Authors: WANG, Xin-Kuan, WANG, Gui-Bao, Wang, Lei
Format: Journal Article
Language:English
Published: New York IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Apertures
Arrays
Density
Directivity
Filling
Heuristic methods
multi-objective particle swarm optimization
Multiple objective analysis
Optimization
Particle swarm optimization
Planar arrays
Shape
sidelobe level
Sidelobe reduction
Sidelobes
sparse planar array
Synthesis
Tapering
Three-dimensional displays
ISSN:1536-1225, 1548-5757
Online Access:Get full text
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Summary:A hybrid approach that combines the strategy of partial density tapering (PDT) and the multi-objective particle swarm optimization (MOPSO), called PDT-MOPSO, is proposed to address the synthesis of sparse planar arrays (SPAs) of different shapes. By performing the PDT, not only the strong constraint of element placement in SPAs is eased to non-constrained issue, but also the element locations are forced to follow the distribution of density tapering somewhat to facilitate the sidelobe suppression. Then, by taking the sidelobe level and directivity as the optimization objectives, the traditional MOPSO is used to optimize the element locations so that the SPAs with reduced number of elements, minimized sidelobe level and non-degraded directivity are achieved. Some numerical instances confirmed the effectiveness of the proposed method.
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ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2022.3220935