| 摘要 |
<P>PROBLEM TO BE SOLVED: To provide accurate estimation of a channel matrix for a channel subject to frequency and time selective fading, in accordance with each SNR in a multiple-input multiple-output (MIMO) wireless communication network. <P>SOLUTION: The method utilizes a recursive least-squares (RLS) process 500 and an expectation-maximization (EM) process 600, based on a L<SB POS="POST">1</SB>-L<SB POS="POST">q</SB>regularized sparse regression. The method significantly improves accuracy of channel estimation by using high-order matrix extension to obtain covariance matrices. The covariance matrices and an initial estimate are refined by a sparse EM to obtain the final estimate of the channel. <P>COPYRIGHT: (C)2012,JPO&INPIT |
