Array pattern synthesis part II: Planar arrays

1986 ◽  
Vol 28 (2) ◽  
pp. 4-10 ◽  
Author(s):  
R. Elliott
Keyword(s):  
Pattern Synthesis ◽  
Array Pattern ◽  
Planar Arrays

scholarly journals Radiation Pattern Synthesis of Planar Arrays Using Parasitic Patches Fed by a Small Number of Active Elements

2020 ◽  
Author(s):  
Jafar Ramadhan Mohammed ◽  
Karam Mudhafar Younus
Keyword(s):  
Computer Simulation ◽  
Radiation Pattern ◽  
Sidelobe Level ◽  
Pattern Synthesis ◽  
Active Elements ◽  
Array Pattern ◽  
Planar Arrays ◽  
Planar Array ◽  
Simulation Results ◽  
The Cost

In this chapter, several planar array designs based on the use of a small number of the active elements located at the center of the planar array surrounded by another number of the uniformly distributed parasitic elements are investigated. The parasitic elements are used to modify the radiation pattern of the central active elements. The overall radiation pattern of the resulting planar array with a small number of active elements is found to be comparable to that of the fully active array elements with a smaller sidelobe level (SLL) at the cost of a relatively wider beamwidth and lower directivity. Nevertheless, the uses of only a small number of the active elements provide a very simple feeding network that reduces the cost and the complexity of the array. Simulation results which have been computed using computer simulation technology-microwave studio (CST-MWS) show that the sidelobe level of the designed array pattern with parasitic elements is considerably better than that of the similar fully active array elements. The proposed array can be effectively and efficiently used in the applications that require wider antenna beams.

scholarly journals An Improved Antenna Array Pattern Synthesis Method Using Fast Fourier Transforms

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Xucun Wang ◽  
Yiguo Zhou ◽  
Yanfei Wang
Keyword(s):  
Convergence Rate ◽  
Antenna Array ◽  
Fourier Transforms ◽  
Synthesis Method ◽  
Original Method ◽  
Scaling Factor ◽  
Final Solution ◽  
Pattern Synthesis ◽  
Array Pattern ◽  
Planar Arrays

An improved antenna array pattern synthesis method using fast Fourier transform is proposed, which can be effectively applied to the synthesis of large planar arrays with periodic structure. Theoretical and simulative analyses show that the original FFT method has a low convergence rate and the converged solution can hardly fully meet the requirements of the desired pattern. A scaling factor is introduced to the original method. By choosing a proper value for the scaling factor, the convergence rate can be greatly improved and the final solution is able to fully meet the expectations. Simulation results are given to demonstrate the effectiveness of the proposed algorithm.

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.

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