DocumentCode :
1479702
Title :
Low-Complexity Iterative Channel Estimation for Turbo Receivers
Author :
Yoon, Daejung ; Moon, Jaekyun
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota at Minneapolis, Minneapolis, MN, USA
Volume :
60
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
1182
Lastpage :
1187
Abstract :
This letter discusses a receiver-side channel estimation algorithm well-suited to turbo equalizers for multiple-input multiple-output (MIMO) systems. The proposed technique is a Kalman-based channel estimator that runs on parallel single-input single-output (SISO) channels. Soft-decision-feedback interference cancellation is utilized to reduce the MIMO channel estimation problem into multiple SISO channel estimation problems. Unlike existing methods, however, the inherent correlation that exists among the output samples of the successive interference canceller is suppressed via careful puncturing of observation samples. The quality of soft decisions and channel estimates are also continuously monitored and incorporated in the Kalman filter update process.
Keywords :
Kalman filters; MIMO communication; channel estimation; computational complexity; iterative methods; radio receivers; radiofrequency interference; Kalman filter update process; Kalman-based channel estimator; MIMO system; SISO channel; low-complexity iterative channel estimation; multiple-input multiple-output system; parallel single-input single-output channel; receiver-side channel estimation algorithm; soft-decision-feedback interference cancellation; successive interference canceller; turbo equalizer; turbo receiver; Channel estimation; Correlation; Interference; Kalman filters; MIMO; OFDM; Receivers; MIMO-OFDM; channel estimation; soft information; spatial multiplexing;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2012.032012.110085
Filename :
6175871
Link To Document :
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