Application and improvement of SAGE algorithm for channel parameter estimation
Author(s)
Advisor
Altıntaş, AyhanDate
2008Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
In recent years, Multiple Input Multiple Output (MIMO) systems have gained
importance due to the improvements on the performance of radio systems. Channel
parameter estimation is an important factor in the design and optimization
of MIMO systems. In this thesis, channel parameters such as delay, angles (azimuth
and elevation) of arrival (AoA) and departure (AoD), Doppler frequency
and polarization are estimated from measurement data using Space Alternating
Generalized Expectation-Maximization (SAGE) algorithm. One of the focuses of
this thesis is to reduce the computational complexity of the algorithm by using
Particle Swarm Optimization (PSO) technique. Additionally, a new initialization
procedure is proposed to get better estimates and to improve the processing
time of the algorithm. Moreover, performance of the SAGE algorithm and improvements
on the algorithm are tested via extensive measurement data. It is
found that SAGE algorithm is a powerful tool for channel estimation and it can
further be improved by the aforementioned propositions.
Keywords
Multiple Input Multiple Output (MIMO)Channel Parameter Estimation
Particle Swarm Optimization (PSO)
SAGE