DocumentCode :
1371847
Title :
Optimum MIMO-OFDM Detection With Pilot-Aided Channel State Information
Author :
Coluccia, Giulio ; Riegler, Erwin ; Mecklenbräuker, Christoph ; Taricco, Giorgio
Author_Institution :
Dipt. di Elettron., Politec. di Torino, Turin, Italy
Volume :
3
Issue :
6
fYear :
2009
Firstpage :
1053
Lastpage :
1065
Abstract :
An optimum receiver for multiple-input multiple output orthogonal frequency-division multiplexing (MIMO-OFDM) communication systems accounting for realistic channel estimation is proposed. The receiver is assumed to comply with the emerging IEEE 802.11n standard and its performance is compared against that of a genie receiver (corresponding to ideal channel estimation) and a mismatched receiver (using estimated channel state information in the ideal channel metric). Receiver complexity is addressed in two steps: first, by developing an iterative expression of the receiver metric and second by implementing a spectral approximation, which allows a dramatic reduction of the receiver complexity with unnoticeable degradation. Since the optimum receiver is based on the availability of channel distribution information, it is shown by numerical results that its estimation has a marginal effect on the error performance and does not represent an issue for the receiver implementation.
Keywords :
MIMO communication; OFDM modulation; channel estimation; radio receivers; telecommunication standards; wireless LAN; IEEE 802.11n standard; MIMO-OFDM detection; channel estimation; multiple-input multiple-output communications; optimum receiver; orthogonal frequency-division multiplexing communication; pilot aided channel state information; Availability; Bayesian methods; Channel capacity; Channel estimation; Channel state information; Degradation; Frequency division multiplexing; MIMO; State estimation; Transmitters; Mismatched detection; multiple-input multiple output (MIMO) systems; optimum Bayesian estimation; orthogonal frequency-division multiplexing (OFDM); pilot-aided communications;
fLanguage :
English
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
Publisher :
ieee
ISSN :
1932-4553
Type :
jour
DOI :
10.1109/JSTSP.2009.2037570
Filename :
5370670
Link To Document :
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