Research on the non-blind channel estimation technologies for the MIMO-OFDM communication systems

Author

Cao, Ting-Ting ; Zheng, Zi-Wei

Author_Institution

Coll. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

424

Lastpage

428

Abstract

The multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) communication systems can provide high data rate. Since channel estimation is an integral part of the receiver designs in coherent MIMO-OFDM systems, it is important to understand the basis of the channel estimation technologies. The basic system models are constructed for the MIMO-OFDM communication systems in this paper. Several non-blind channel estimation technologies, such as the Least Square (LS) algorithm, the Minimum Mean Square Error (MMSE) algorithm and the Singular Value Decomposition (SVD) algorithm are comparatively studied on the MIMO-OFDM communication systems. The simulation results are also provided for the MIMO-OFDM communication systems with different non-blind channel estimation technologies.

Keywords

MIMO communication; OFDM modulation; channel estimation; least mean squares methods; singular value decomposition; LS algorithm; MIMO-OFDM communication systems; MMSE algorithm; SVD algorithm; least square algorithm; minimum mean square error algorithm; multiple-input multiple-output system; nonblind channel estimation technologies; orthogonal frequency division multiplexing system; singular value decomposition; Bit error rate; Channel estimation; Estimation; OFDM; Receiving antennas; Signal to noise ratio; Wireless communication; Channel estimation; Least Square; MIMO-OFDM; Minimum Mean Square Error; Singular Value Decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6067798

Filename

6067798