Title :
Antenna Gain Imbalance detection method using Particle Swarm algorithm for MIMO systems
Author :
Xiaohui Li ; Xin Zhang ; Yongqiang Hei
Author_Institution :
State Key Lab. of ISN, Xidian Univ., Xi´an, China
Abstract :
The performance of Multiple Input Multiple Output (MIMO) systems is significantly influenced by Antenna Gain Imbalance (AGI). A novel AGI detection method using Particle Swarm Optimization (PSO) algorithm is present in this paper. Based on the establishment of the AGI model, the AGI detection problem is described as an optimization problem considering multi-user channel information. The PSO algorithm is introduced to minimize fitness function expressed by the mean square error of the AGI parameters through adjusting the positions of the particles. Further, the convergence condition is obtained from swarm size and iteration number. The simulation results show that the PSO algorithm is much better than statistic method and can obtain nearly the same performance as the optimal method with low complexity.
Keywords :
3G mobile communication; Long Term Evolution; MIMO communication; antennas; convergence of numerical methods; iterative methods; mean square error methods; particle swarm optimisation; radio spectrum management; 3GPP; 3rd Generation Partnership Project; AGI detection method; LTE system; Long-Term Evolution system; MIMO systems; PSO algorithm; antenna gain imbalance detection method; convergence condition; fitness function minimization; iteration number; mean square error; multiple input multiple output systems; multiuser channel information; particle swarm algorithm; spectrum improvement; swarm size; wireless communication systems;
Conference_Titel :
Wireless Communications & Signal Processing (WCSP), 2012 International Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4673-5830-9
Electronic_ISBN :
978-1-4673-5829-3
DOI :
10.1109/WCSP.2012.6542845
