Paper Info
Title
Enhanced channel estimation using Cyclic Prefix in MIMO STBC OFDM sytems
Abstract
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.
Year
DOI
Venue
2010
10.1109/ISSPIT.2010.5711794
Signal Processing and Information Technology
Keywords
Field
DocType
mimo stbc ofdm sytems,enhanced channel estimation,cp information,improved performance,fb kalman algorithm result,data detection algorithm,joint channel estimation,frequency correlation information,improved iterative joint channel,cyclic prefix,data detection process,channel estimation,kalman filter algorithm,ofdm modulation,iterative methods,kalman filter,expectation maximization,kalman filters,space time block code
Computer science,Control theory,Fading,Artificial intelligence,Space–time block code,MIMO-OFDM,Cyclic prefix,Pattern recognition,MIMO,Algorithm,Communication channel,Kalman filter,Orthogonal frequency-division multiplexing
Conference
ISBN
Citations 
PageRank 
978-1-4244-9992-2
3
0.47
References 
Authors
14
2
Name
Order
Citations
PageRank
Ahmed A. Quadeer1132.13
Muhammad S. Sohail2143.73