Enhanced channel estimation using Cyclic Prefix in MIMO STBC OFDM sytems

Channel estimation is an important part of any receiver design. This paper presents an improved iterative joint channel estimation and data detection algorithm for Space Time Block Coded (STBC) MIMO OFDM systems in fast fading environments. The algorithm utilizes both time and frequency correlation...

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Bibliographic Details
Published inThe 10th IEEE International Symposium on Signal Processing and Information Technology pp. 277 - 282
Main Authors Quadeer, A A, Sohail, M S
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Channel estimation
expectation maximization
Joints
Kalman filter
Kalman filters
MIMO
MIMO OFDM
OFDM
Receiving antennas
Space Time Block Codes
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ISBN9781424499922
1424499925
ISSN2162-7843
DOI10.1109/ISSPIT.2010.5711794

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Summary:Channel estimation is an important part of any receiver design. This paper presents an improved iterative joint channel estimation and data detection algorithm for Space Time Block Coded (STBC) MIMO OFDM systems in fast fading environments. The algorithm utilizes both time and frequency correlation information. We show how the Cyclic Prefix (CP) can be used to enhance the joint channel estimation and data detection process. We present two variations of the Expectation Maximization (EM) based Forward Backward (FB) Kalman filter algorithm utilizing the CP information and provide their performance comparison. Simulation results show that the proposed use of CP to aid the EM based FB Kalman algorithm results in improved performance.
ISBN:9781424499922
1424499925
ISSN:2162-7843
DOI:10.1109/ISSPIT.2010.5711794