Blind MIMO-OFDM Channel Estimation Based on ICA and KRLS Algorithm

Author

Liu, Haiyuan ; Sun, Jiancheng

Author_Institution

Coll. of Inf. Tech. Sci., Nankai Univ., Tianjin, China

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

5

Abstract

In this paper, a new method on MIMO-OFDM blind channel estimation based on independent component analysis (ICA) and kernel recursive least squares (KRLS) is proposed. The MIMO-OFDM channel estimation frequency domain expression formula has the similar structure with the blind source separation, so the natural gradient ICA is used to calculate the weight frequency matrix, KRLS is been utilized to compute the others. The method has good ability on line learning, simulation shows that under the similar condition, the performance has about 0.6~0.8 dB higher comparing to subspace and virtual subcarrier method.

Keywords

MIMO communication; OFDM modulation; blind source separation; channel estimation; frequency-domain analysis; independent component analysis; least squares approximations; matrix algebra; recursive estimation; wireless channels; KRLS algorithm; blind MIMO-OFDM channel estimation; blind source separation; frequency domain expression formula; independent component analysis; kernel recursive least squares algorithm; natural gradient ICA; online learning; virtual subcarrier method; weight frequency matrix; Blind equalizers; Channel estimation; Digital video broadcasting; Independent component analysis; Kernel; Least squares approximation; MIMO; OFDM; Receiving antennas; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3692-7

Electronic_ISBN

978-1-4244-3693-4

Type

conf

DOI

10.1109/WICOM.2009.5304098

Filename

5304098