A Novel Array Pattern Synthesis Approach Based on Inagaki Modes

2006 ◽  
Author(s):  
Yunfeng Zhang ◽  
Wei Cao
Keyword(s):  
Pattern Synthesis ◽  
Array Pattern ◽  
Synthesis Approach

Array pattern synthesis approach using a genetic algorithm

2014 ◽  
Vol 8 (14) ◽  
pp. 1236-1240 ◽  
Author(s):  
Hassan M. Elkamchouchi ◽  
Mohamed M. Hassan
Keyword(s):  
Genetic Algorithm ◽  
Pattern Synthesis ◽  
Array Pattern ◽  
Synthesis Approach

Optimal array pattern synthesis for broadband arrays

2007 ◽  
Vol 122 (5) ◽  
pp. 2686 ◽  
Author(s):  
Shefeng Yan ◽  
Yuanliang Ma ◽  
Chaohuan Hou
Keyword(s):  
Pattern Synthesis ◽  
Array Pattern

Array pattern synthesis using sparse representation of beampattern

2012 ◽  
Vol 48 (23) ◽  
pp. 1444 ◽  
Author(s):  
R. He ◽  
D.J. Xu ◽  
F. Shen
Keyword(s):  
Sparse Representation ◽  
Pattern Synthesis ◽  
Array Pattern

Application of the Unit Circle Representation to Pattern Synthesis of Nonuniformly Spaced and Nonuniformly Excited Arrays based on the Teaching Learning Based Optimization

2019 ◽  
Vol 4 (1) ◽  
pp. 8-17
Author(s):  
Abdelmadjid RECIOUI
Keyword(s):  
Unit Circle ◽  
Antenna Array ◽  
Communication Systems ◽  
Sidelobe Level ◽  
Pattern Synthesis ◽  
Linear Arrays ◽  
Array Pattern ◽  
Teaching Learning Based Optimization ◽  
Null Placement ◽  
Teaching Learning

Pattern synthesis of Antenna array has gained much attention over the last years as they constitute an important role in the modern communication systems. Unit circle-based techniques such as Schelkunoff null placement method have proved their effectiveness to synthesize uniformly spaced linear arrays. Nonuniformly spaced antenna array pattern synthesis has been investigated and interesting results have been obtained. In this work, the unit circle representation approach is applied to synthesize nonuniformly spaced and nonuniformly excited linear arrays. The objective is to accurately place nulls in the desired directions while achieving the least possible sidelobe level. The problem is cast as an optimization problem that is solved using the Teaching Learning Based Optimization (TLBO). Examples are dealt with to prove the design approach effectiveness and flexibility for modern communication system applications.

Sign in / Sign up

Export Citation Format

Share Document