Title :
Adaptive channel estimation for MIMO space-time coded communications
Author :
Younis, Waleed M. ; Sayed, Ali H.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Abstract :
We develop adaptive channel estimation techniques for multiple-input multiple-output (MIMO) channels with space-time block-coded (STBC) communications. We describe a unified framework for adaptive channel estimation for multi-user Alamouti STBC transmissions over flat fading channels and over frequency selective fading channels using single-carrier frequency domain (SC-FD) STBC or STBC-OFDM. The structure of the space-time code is exploited to reduce the complexity of block NLMS and RLS receivers.
Keywords :
MIMO systems; OFDM modulation; adaptive codes; block codes; channel coding; channel estimation; fading channels; frequency-domain analysis; least mean squares methods; modulation coding; multiuser detection; recursive estimation; space-time codes; MIMO channel; RLS receiver; SC-FD; STBC communication; STBC-OFDM; adaptive channel estimation; block NLMS; flat fading channel; frequency selective channel; multiple-input multiple-output system; multiuser Alamouti transmission; normalised least mean squares; orthogonal frequency division multiplexing; recursive least square; single-carrier frequency domain; space-time block code; Additive white noise; Block codes; Channel estimation; Covariance matrix; Fading; Frequency estimation; Gaussian noise; MIMO; Receiving antennas; Transmitting antennas;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2004
Print_ISBN :
0-7803-8545-4
DOI :
10.1109/SAM.2004.1502980
