DocumentCode
1554462
Title
VSSO Kalman-usage of Barhumi´s pilot pattern for channel estimation in MIMO-OFDM systems
Author
Karthik, M. ; Sreedhar, D.
Author_Institution
STMicroelectron., Nanyang Technol. Univ., Singapore, Singapore
Volume
48
Issue
14
fYear
2012
Firstpage
883
Lastpage
884
Abstract
Vector state-scalar observation (VSSO) and vector state-vector observation (VSVO) are two types of Kalman channel estimators used in orthogonal frequency division multiplexing (OFDM) systems. VSSO Kalman channel estimators result in over 90% complexity savings, compared to VSVO Kalman channel estimators, without any loss of performance. Thus far, for frequency-selective channels, VSSO Kalman channel estimators have been proposed only for OFDM systems and not for MIMO-OFDM systems. VSVO Kalman channel estimators have been proposed for MIMO-OFDM systems over frequency-selective channels. Proposed is a VSSO Kalman channel estimator for MIMO-OFDM systems using Barhumi´s pilot pattern. It will be seen that the proposed VSSO Kalman channel estimator has much better performance than the method of Barhumi´s least-squares method (literature method) and this is achieved with only a moderate increase (two times) in complexity. Similarly, the proposed VSSO Kalman channel estimator has the same performance as the VSVO Kalman channel estimator method (literature method) and this is achieved at about (1/60)th of the complexity associated with the VSVO method.
Keywords
Kalman filters; MIMO communication; OFDM modulation; channel estimation; least squares approximations; vectors; Barhumi least-squares method; Barhumi pilot pattern; MIMO-OFDM systems; VSSO Kalman channel estimators; VSSO Kalman-usage; VSVO Kalman channel estimators; channel estimation; complexity savings; frequency-selective channels; literature method; orthogonal frequency division multiplexing systems; vector state-scalar observation; vector state-vector observation;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2012.0666
Filename
6235180
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