Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
IEEE Transactions on Signal Processing
The kernel recursive least-squares algorithm
IEEE Transactions on Signal Processing
Subspace-based (semi-) blind channel estimation for block precodedspace-time OFDM
IEEE Transactions on Signal Processing
IEEE Communications Magazine
Hi-index | 0.00 |
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∼0.8dB higher comparing to subspace and virtual subcarrier method.