Title :
Antenna pattern synthesis based on the particle swarm optimal algorithm
Author :
Li, Duan ; Xue Yong-yi ; Zhao Yi-song
Author_Institution :
Coll. of Inf., Beijing Union Univ., Beijing, China
Abstract :
Multiplexing Antenna Arrays is the anti-interference key technology of 4G mobile communication. The core is the antenna pattern synthesis. Yet some of the algorithm have the problem of needing lots of data, high computational complexity and slow speed of convergence. In this paper the improved antenna pattern synthesis based on particle swarm optimal algorithm is presented, Then simulator is carried out. Compared with others., it has the small calculation quantity, the easy realization, the good steady, no many parameter demand adjust and stronger application.
Keywords :
4G mobile communication; antenna arrays; antenna radiation patterns; computational complexity; interference (signal); particle swarm optimisation; 4G mobile communication; antenna pattern synthesis; anti-interference key technology; computational complexity; multiplexing antenna arrays; particle swarm optimal algorithm; 4G mobile communication; Antenna arrays; Antenna radiation patterns; Birds; Computational complexity; Educational institutions; Iterative algorithms; Mobile antennas; Particle swarm optimization; Phased arrays; Algorithm; Antenna; Optimization; Particle; Swarm;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497412