Particle swarm optimization for SAGE maximization step in channel parameter estimation
Date
2007-11
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
The Second European Conference on Antennas and Propagation, EuCAP 2007
Print ISSN
Electronic ISSN
Publisher
IET
Volume
Issue
Pages
1 - 4
Language
English
Type
Journal Title
Journal ISSN
Volume Title
Series
Abstract
This paper presents an application of particle swarm optimization (PSO) in space alternating generalized expectation maximization (SAGE) algorithm. SAGE algorithm is a powerful tool for estimating channel parameters like delay, angles (azimuth and elevation) of arrival and departure, Doppler frequency and polarization. To demonstrate the improvement in processing time by utilizing PSO in SAGE algorithm, the channel parameters are estimated from a synthetic data and the computational expense of SAGE algorithm with PSO is discussed. (4 pages).
Course
Other identifiers
Book Title
Keywords
Channel estimation , Particle swarm optimization. , SAGE , Channel parameter , Computational expense , Doppler frequency , In-channels , Processing Time , SAGE algorithm , Space alternating generalized expectation maximization , Synthetic data , Algorithms , Antennas , Estimation , Parameter estimation , Particle swarm optimization (PSO) , MIMO