Directions of arrival optimization method for broadband antenna array based on filter bank

2018 ◽  
Vol 15 (11) ◽  
pp. 1-9
Author(s):  
Ying Liu ◽  
Chi Xie
2013 ◽  
Vol 61 (2) ◽  
pp. 718-727 ◽  
Author(s):  
M. S. Hossain ◽  
G. N. Milford ◽  
M. C. Reed ◽  
L. C. Godara

2011 ◽  
Vol 08 (02) ◽  
pp. 171-179
Author(s):  
T. S. JEYALI LASEETHA ◽  
R. SUKANESH

This paper discusses the deployment of Genetic Algorithm optimization method for the synthesis of antenna array radiation pattern in adaptive beamforming. The synthesis problem discussed is to find the weights of the Uniform Linear Antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the sidelobe level. This technique proved its effectiveness in improving the performance of the antenna array.


2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
M. Spasos ◽  
R. Nilavalan ◽  
K. Tsiakmakis ◽  
N. Charalampidis ◽  
S. W. Cheung

This paper presents Taguchi's optimization method implemented in the design of a single feed (without any matching network) microstrip antenna array operating around 12.5 GHz. The proposed optimization method is statistical and is widely used for quality assurance in many fields such as mechanical and chemical production, consumer electronics, services; however it has been underused in the field of electromagnetics. It allows optimization of multiparameter, multitarget complex designs in a very short time in conjunction with advanced simulation tools. The proposed antenna has been fully evaluated under Taghuchi's and PSO's optimization methods, and the experimental results show total Gain of 15 dB, and good matching withS11 better than 20 dB, in the frequency range 12.3 to 12.8 GHz.


Author(s):  
Huijun Deng ◽  
Xue Li ◽  
Libao Sun ◽  
Shiyou Yang

Purpose – The aim of this paper is to explore the potential of particle swarm optimization (PSO) methods for minimizing the sidelobe levels (SLL) and placing null at arbitrary angles of a nonlinear antenna array. Design/methodology/approach – An improved PSO algorithm is designed. Findings – The improved PSO method is an efficient and robust global optimizer for minimizing the SLL and placing null at arbitrary angles of a nonlinear antenna array. Originality/value – Some improvements, such as the design of some new formulae for both position and velocity updating, the introduction of an age variable, and the devise of an intensification searches using the cross entropy method, are proposed.


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