The deterministic subspace algorithm is sensitive to channel order over-estimation. To deal with
the problem, a robust subspace algorithm combining a transform domain method and a subspace method is
presented, which can tolerate some order error of the channel. The proposed algorithm uses a frequency domain
subspace algorithm to estimate the channel state. A transform domain algorithm is used for noise reduction and
estimation accuracy improvement. To evaluate the performance of channel estimation, a minimum constraint
Cramer-Rao bound is derived. Theoretical analysis and simulation results show that the method have good
robustness against order over-estimation of the channel.
DAI Xi-ping, PENG Hua, ZHENG Yong-jun, WANG Qi-feng
. Transform Domain-Based Blind Channel Estimation for MIMO-OFDM[J]. Journal of Applied Sciences, 2014
, 32(5)
: 523
-529
.
DOI: 10.3969/j.issn.0255-8297.2014.05.014
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