Title :
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
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;
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
DOI :
10.1109/WICOM.2009.5304098
