On Particle Swarm Optimization for MIMO Channel Estimation
Joint Authors
Hoeher, Peter Adam
Knievel, Christopher
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Evolutionary algorithms, in particular particle swarm optimization (PSO), have recently received much attention.
PSO has successfully been applied to a wide range of technical optimization problems, including channel estimation.
However, most publications in the area of digital communications ignore improvements developed by the PSO community.
In this paper, an overview of the original PSO is given as well as improvements that are generally applicable.
An extension of PSO termed cooperative PSO (CPSO) is applied for MIMO channel estimation, providing faster convergence and, thus, lower overall complexity.
Instead of determining the average iterations needed empirically, a method to calculate the maximum number of iterations is developed, which enables the evaluation of the complexity for a wide range of parameters.
Knowledge of the required number of iterations is essential for a practical receiver design.
A detailed discussion about the complexity of the PSO algorithm and a comparison to a conventional minimum mean squared error (MMSE) estimator are given.
Furthermore, Monte Carlo simulations are provided to illustrate the MSE performance compared to an MMSE estimator.
American Psychological Association (APA)
Knievel, Christopher& Hoeher, Peter Adam. 2012. On Particle Swarm Optimization for MIMO Channel Estimation. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-485237
Modern Language Association (MLA)
Knievel, Christopher& Hoeher, Peter Adam. On Particle Swarm Optimization for MIMO Channel Estimation. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-485237
American Medical Association (AMA)
Knievel, Christopher& Hoeher, Peter Adam. On Particle Swarm Optimization for MIMO Channel Estimation. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-485237
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485237