Particle swarm optimization for SAGE maximization step in channel parameter estimation
Author
Bodur, Harun
Tunç, Celal Alp
Aktaş, Defne
Ertürk, Vakur .B.
Altıntaş, Ayhan
Date
2007-11Source Title
The Second European Conference on Antennas and Propagation, EuCAP 2007
Publisher
IET
Pages
[1] - [4]
Language
English
Type
Conference PaperItem Usage Stats
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Show full item recordAbstract
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).
Keywords
Channel estimationParticle 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