DocumentCode :
1555173
Title :
Blind channel identification and equalization in OFDM-based multiantenna systems
Author :
Bölcskei, Helmut ; Heath, Robert W., Jr. ; Paulraj, Arogyaswami J.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Volume :
50
Issue :
1
fYear :
2002
fDate :
1/1/2002 12:00:00 AM
Firstpage :
96
Lastpage :
109
Abstract :
Wireless systems employing multiple antennas at the transmitter and the receiver have been shown to have the potential of achieving extraordinary bit rates. Orthogonal frequency division multiplexing (OFDM) significantly reduces the receiver complexity in multiantenna broadband systems. We introduce an algorithm for blind channel identification and equalization in OFDM-based multiantenna systems. Our approach uses second-order cyclostationary statistics, employs antenna precoding, and yields unique channel estimates (up to a phase rotation for each transmit antenna). Furthermore, it requires only an upper bound on the channel order, it does not impose restrictions on channel zeros, and it exhibits low sensitivity to stationary noise. We present simulation results demonstrating the channel estimator and the corresponding multichannel equalizer performance.
Keywords :
OFDM modulation; antenna arrays; blind equalisers; encoding; identification; receiving antennas; statistical analysis; transmitting antennas; OFDM-based multiantenna systems; antenna precoding; blind channel equalization; blind channel identification; channel estimator; channel order; channel zeros; multiantenna broadband systems; multichannel equalizer performance; orthogonal frequency division multiplexing; phase rotation; receiver complexity reduction; simulation results; spatial multiplexing systems; stationary noise; transmit antenna; upper bound; Bit rate; Blind equalizers; OFDM; Phase estimation; Receiving antennas; Statistics; Transmitters; Transmitting antennas; Upper bound; Yield estimation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.972486
Filename :
972486
Link To Document :
بازگشت