Multi-antennas layout optimization in limited area using GA/SA algorithm

Xiaogang Yuan

doi:10.1117/12.2631868

14 April 2022 Multi-antennas layout optimization in limited area using GA/SA algorithm

Xiaogang Yuan

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 1217821 (2022) https://doi.org/10.1117/12.2631868
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

An ideal antenna layout design scheme can effectively increase the isolation degree between antennas in a limited area and significantly reduce the interference between cosite radio stations. In this paper, a new objective function is adopted to make full use of horizontal and vertical isolation of antennas in three-dimensional space according to the characteristics of the frequency band and antenna in V/UHF ground-to-air communication, and the GA/SA algorithm is proposed to optimize three-dimensional antenna layout based on the new mathematical models and constraints of antenna layout optimization. The calculation results show that this method can achieve better antenna layout optimization in complex multi-antenna systems with multiple constraints.

Citation Download Citation

Xiaogang Yuan "Multi-antennas layout optimization in limited area using GA/SA algorithm", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 1217821 (14 April 2022); https://doi.org/10.1117/12.2631868

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available