Open AccessSynthesis of uniformly excited sparse rectangular planar array for sidelobe suppression using multi‐objective optimisation algorithm
Author(s) -
Zhang Chengyan,
Fu Xiongjun,
Chen Xu,
Peng Shuilian,
Min Xie
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0263
Subject(s) - particle swarm optimization , convergence (economics) , algorithm , planar , planar array , plane (geometry) , computer science , mathematical optimization , mathematics , telecommunications , geometry , computer graphics (images) , economics , economic growth
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.