Journal of Applied Sciences ›› 2014, Vol. 32 ›› Issue (5): 523-529.doi: 10.3969/j.issn.0255-8297.2014.05.014

• Signal and Information Processing • Previous Articles     Next Articles

Transform Domain-Based Blind Channel Estimation for MIMO-OFDM

DAI Xi-ping, PENG Hua, ZHENG Yong-jun, WANG Qi-feng   

  1. Institute of Information Systems Engineering, PLA Information Engineering University, Zhengzhou 450002, China
  • Received:2013-11-28 Revised:2014-05-13 Online:2014-09-23 Published:2014-05-13

Abstract: 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.  

Key words: multiple-input multiple-output (MIMO), orthogonal frequency division multiplexing (OFDM), blind channel estimation, subspace method, Cramer-Rao bound

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