Semiblind channel estimation and equalization for MIMO space-time coded OFDM

Based on the special features of space-time coding (STC) and orthogonal frequency-division multiplexing (OFDM), it is mathematically proved that all channel responses of a multiple-input-multiple-output STC-OFDM system can be identified blindly subject to two ambiguity matrices with a subspace-based...

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Veröffentlicht in:IEEE transactions on circuits and systems. I, Regular papers Jg. 53; H. 2; S. 463 - 474
Hauptverfasser: Yonghong Zeng, Lam, W.H., Tung Sang Ng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2006
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Ambiguity
Bandwidth
Blind
Channel estimation
Channels
Equalization
Frequency division multiplexing
Frequency domain analysis
Frequency estimation
Mathematical analysis
Matrices
Matrix methods
MIMO
multiple-input-multiple-output (MIMO)
multiuser
OFDM
Orthogonal Frequency Division Multiplexing
orthogonal frequency-division multiplexing (OFDM)
Pilots
Receiving antennas
semiblind
space-time coding (STC)
subspace
Symbols
Transfer functions
Transmitting antennas
ISSN:1549-8328, 1558-0806
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Zusammenfassung:Based on the special features of space-time coding (STC) and orthogonal frequency-division multiplexing (OFDM), it is mathematically proved that all channel responses of a multiple-input-multiple-output STC-OFDM system can be identified blindly subject to two ambiguity matrices with a subspace-based method. A method is then presented to resolve the two ambiguity matrices by using few pilot symbols. With the estimated channels, a frequency domain approach is presented to recover the transmitted symbols. The presented semiblind algorithms are valid even if the channel transfer functions are not coprime and do not require precise channel order information (only an upper bound for the orders is required).
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ISSN:1549-8328
1558-0806
DOI:10.1109/TCSI.2005.856671