A New Low-Sidelobe Pattern Synthesis Technique for Equally Spaced Linear Arrays

2016 ◽  
Vol 64 (4) ◽  
pp. 1317-1324 ◽  
Author(s):  
Ahmad Safaai-Jazi ◽  
Warren L. Stutzman
2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Xin-Kuan Wang ◽  
Gui-Bao Wang

A hybrid method that combines the iterative Fourier transform (IFT) and the algorithm of differential evolution (DE) is proposed to address the synthesis of low sidelobe sparse linear array (SLA) including many elements. Firstly, a thinned linear array (TLA) with the lattices spaced at half wavelength is obtained by the IFT. Then, for the elements of the TLA whose left or right spacing are greater than half wavelength, their placements are selected as the candidates which will be further optimized by the DE, as long as the interelement spacing is not less than half wavelength. Consequently, the convergence pressure of DE is greatly alleviated for the reason that the selected elements only accounts for a small part of the total. Therefore, the SLA with improved sidelobe performance can be obtained at relative low hardware cost. Several numerical instances confirmed the effectiveness of the proposed method.


PIERS Online ◽  
2010 ◽  
Vol 6 (6) ◽  
pp. 551-554 ◽  
Author(s):  
Herbert M. Aumann

Author(s):  
Zhipeng Lin ◽  
Haoquan Hu ◽  
Shiwen Lei ◽  
Ruiming Li ◽  
Jing Tian ◽  
...  

2019 ◽  
Vol 4 (1) ◽  
pp. 8-17
Author(s):  
Abdelmadjid RECIOUI

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.


2012 ◽  
Vol 6 (6) ◽  
pp. 646 ◽  
Author(s):  
K. Yang ◽  
Z. Zhao ◽  
J. Ouyang ◽  
Z. Nie ◽  
Q.H. Liu

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