Unified particle swarm optimization with random ternary variables and its application to antenna array synthesis

2014 ◽  
Vol 28 (6) ◽  
pp. 752-764 ◽  
Author(s):  
Guolong He ◽  
Bin Wu
2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Guolong He ◽  
Yafeng Zhan ◽  
Yukui Pei ◽  
Bin Wu

Ternary adjusting method is proposed and combined with particle swarm optimization (PSO) algorithm for subarrayed antenna array synthesis. Ternary variables are introduced to represent element adjustments between adjacent subarrays. Compared to previous methods, rounding-off operations are not required any longer, and the equation constraint of the fixed total element number is also removed, which effectively reduces the complexity of implementation while obtaining improved topology exploration capability simultaneously.


Sign in / Sign up

Export Citation Format

Share Document