DocumentCode :
2544402
Title :
MIMO channel estimation with dimension reduction
Author :
Stege, Matthias ; Zillmann, Peter ; Fettweis, Gerhard
Author_Institution :
Mobile Commun. Syst., Dresden Univ. of Technol., Germany
Volume :
2
fYear :
2002
fDate :
27-30 Oct. 2002
Firstpage :
417
Abstract :
The number of channel estimates that have to be estimated in multiple-input multiple-output (MIMO) system is in general much larger, than in a single antenna communication scheme. This leads to lower signal to noise ratios (SNR) of the channel estimates if a constant pilot power independent from the number of transmit antennas is assumed. The use of long-term spatial channel characteristics can improve channel estimation for MIMO wireless systems. Separating the signal and the noise subspace followed by a dimension reduction can significantly reduce additive noise on channel estimates. This leads to improved channel estimation, especially for MIMO systems with high numbers of antennas, and to lower pilot power requirements.
Keywords :
Karhunen-Loeve transforms; MIMO systems; antenna arrays; array signal processing; channel estimation; noise; radiocommunication; receiving antennas; transmitting antennas; MIMO channel estimation; MIMO wireless systems; SNR; V-BLAST MIMO system; additive noise reduction; constant pilot power; dimension reduction; dimension reduction algorithm; long-term spatial channel characteristics; multiple receive antennas; multiple transmit antennas; multiple-input multiple-output system; noise subspace; signal to noise ratio; signal-dependent Karhunen-Loeve transform; transmit antennas; Additive noise; Channel estimation; Communication systems; Interference; MIMO; Mobile communication; Noise reduction; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Personal Multimedia Communications, 2002. The 5th International Symposium on
ISSN :
1347-6890
Print_ISBN :
0-7803-7442-8
Type :
conf
DOI :
10.1109/WPMC.2002.1088205
Filename :
1088205
Link To Document :
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