DocumentCode :
2339486
Title :
WLC42-3: MIMO-OFDM Beamforming for Improved Channel Estimation
Author :
Shen, Cong ; Fitz, Michael P.
Author_Institution :
Dept. of Electr. Eng., Univ. of California Los Angeles, Los Angeles, CA
fYear :
2006
fDate :
Nov. 27 2006-Dec. 1 2006
Firstpage :
1
Lastpage :
5
Abstract :
This paper takes a system view of the MIMO-OFDM beamformer design problem. We present a design method that helps improve the receiver channel estimation performance without damaging the optimality of beamforming. We design a so-called smoothed singular value decomposition (SSVD) algorithm to get smooth equivalent channels after beamforming, and thus the receiver can apply interpolation and smoothing to improve channel estimation. We then present some analysis of the statistical characteristics of the equivalent channel, which will be useful in designing the channel estimation. Simulation results are shown to support our algorithm.
Keywords :
MIMO communication; OFDM modulation; channel estimation; radio receivers; singular value decomposition; statistical analysis; MIMO-OFDM; beamforming; channel estimation; receiver; receiver channel estimation; smoothed singular value decomposition; statistical characteristics; Algorithm design and analysis; Array signal processing; Channel estimation; Design methodology; Frequency domain analysis; Interpolation; MIMO; Matrix decomposition; Receiving antennas; Singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location :
San Francisco, CA
ISSN :
1930-529X
Print_ISBN :
1-4244-0356-1
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2006.861
Filename :
4151491
Link To Document :
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