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