Blind channel estimation in MIMO-OFDM systems

Author

Bai, Wei ; He, Chen ; Jiang, Ling-ge ; Zhu, Hong-wen

Author_Institution

Shanghai Jiao Tong Univ., China

Volume

1

fYear

2002

fDate

17-21 Nov. 2002

Firstpage

317

Abstract

MIMO-OFDM is one of the promising scheme for achieving high data rate and large system capacity over wireless networks. In this paper, we investigate the blind channel estimation in MIMO-OFDM systems based on the noise subspace method. We exploit the cyclostationarity induced by OFDM with cyclic prefix. The sufficient identifiability conditions were established, and the noise subspace algorithm was developed for MIMO-OFDM channel estimation. The algorithm only requires knowledge of the upper bound on the channel length, it does not impose restrictions on channel zeros and it exhibits low sensitivity to stationary noise. Finally, we demonstrate validity of the algorithm presented in this paper by Monte Carlo simulations.

Keywords

MIMO systems; Monte Carlo methods; OFDM modulation; channel estimation; digital simulation; noise; radio networks; statistical analysis; MIMO-OFDM channel estimation; MIMO-OFDM systems; Monte Carlo simulations; blind channel estimation; channel length; channel zeros; cyclic prefix; cyclostationarity; high data rate; noise subspace algorithm; noise subspace method; second-order statistics; stationary noise; sufficient identifiability conditions; system capacity; upper bound; wireless networks; Bandwidth; Blind equalizers; Channel estimation; Helium; Intelligent networks; OFDM modulation; Receiving antennas; Upper bound; Wireless communication; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE

Print_ISBN

0-7803-7632-3

Type

conf

DOI

10.1109/GLOCOM.2002.1188092

Filename

1188092