DocumentCode
3168091
Title
MIMO channel estimation: optimal training and tradeoffs between estimation techniques
Author
Biguesh, Mehrzad ; Gershman, Alex B.
Author_Institution
Dept. of Commun. Syst., Duisburg Univ., Germany
Volume
5
fYear
2004
fDate
20-24 June 2004
Firstpage
2658
Abstract
Channel estimation in multiple-input multiple-output (MIMO) wireless communication systems plays a key role in the performance of space-time decoders that depends on the accuracy of the channel knowledge. In this paper, we study the performance of MIMO channel estimation using training sequences. The least squares (LS), minimum-mean-square error (MMSE), and a new scaled LS (SLS) approaches to the channel estimation are studied and the optimal choice of training signals is investigated for each of these techniques.
Keywords
MIMO systems; channel estimation; decoding; least mean squares methods; matrix algebra; radio networks; space-time codes; MIMO channel estimation; minimum-mean-square error approach; multiple-input multiple-output wireless communication systems; scaled least squares approach; space-time decoders; training sequences; Channel estimation; Fading; Laser sintering; Least squares approximation; MIMO; Maximum likelihood decoding; Receiving antennas; System testing; Transmitting antennas; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2004 IEEE International Conference on
Print_ISBN
0-7803-8533-0
Type
conf
DOI
10.1109/ICC.2004.1313013
Filename
1313013
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