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

The Journal of Engineering

Shuilian Peng¹  Xiongjun Fu²  Xie Min²  Chengyan Zhang²  Xu Chen³ 

[1] China Electronics Technology Group Corp 38th Research Institute;School of Information and Electronics, Beijing Institute of Technology;The 723th Research Institute of CSIC;

关键词: optimisation;    antenna radiation patterns;    Pareto optimisation;    antenna arrays;    planar antenna arrays;    particle swarm optimisation;    linear antenna arrays;    uniformly excited sparse rectangular planar array;    multiobjective optimisation algorithm;    speed-constrained multiobjective particle swarm optimisation;    sparse-rectangular planar array;    synthesis problem;    existing synthesis algorithms;    lowest maximum sidelobe level;   

DOI  :  10.1049/joe.2019.0263

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown