Initial value independent optimisation for flat-top power pattern synthesis using non-uniform linear arrays

2005 ◽  
Vol 41 (12) ◽  
pp. 677 ◽  
Author(s):  
Y. Wen ◽  
W.-S. Gan ◽  
J. Yang
Keyword(s):  
Initial Value ◽  
Pattern Synthesis ◽  
Linear Arrays ◽  
Power Pattern ◽  
Independent Optimisation

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.

scholarly journals Power Pattern Sensitivity to Calibration Errors and Mutual Coupling in Linear Arrays through Circular Interval Arithmetics

Sensors ◽  
2016 ◽  
Vol 16 (6) ◽  
pp. 791 ◽  
Author(s):  
Nicola Anselmi ◽  
Marco Salucci ◽  
Paolo Rocca ◽  
Andrea Massa
Keyword(s):  
Mutual Coupling ◽  
Linear Arrays ◽  
Power Pattern ◽  
Pattern Sensitivity
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