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Novel Semi-blind Channel Estimation Schemes for Rayleigh Flat Fading MIMO Channels

Author(s): Jaymin Bhalani | Dharmendra Chauhan | Y. P. Kosta | A. I. Trivedi

Journal: International Journal of Communications, Network and System Sciences
ISSN 1913-3715

Volume: 04;
Issue: 09;
Start page: 578;
Date: 2011;
Original page

Keywords: Multiple Input Multiple Output | Orthogonal Pilot ML Estimator | QR Decomposition | Semi Blind Channel Estimation

In this paper, we propose two novel semi-blind channel estimation techniques based on QR decomposition for Rayleigh flat fading Multiple Input Multiple output (MIMO) channel using various pilot symbols. In the first technique, the flat-fading MIMO channel matrix H can be decomposed as an upper triangular matrix R and a unitary rotation matrix Q as H = RQ. The matrix R is estimated blindly from only received data by using orthogonal matrix triangularization based house holder QR decomposition, while the optimum rotation matrix Q is estimated exclusively from pilot based Orthogonal Pilot Maximum Likelihood Estimator (OPML) algorithm. In the second technique, joint semi-blind channel and data estimation is performed using QR decomposition based Least Square (LS) algorithm. Simulations have taken under 4-PSK data modulation scheme for two transmitters and six receiver antennas using various training symbols. Finally, these two new techniques compare with Whitening Rotation (WR) based semi-blind channel estimation technique and results shows that those new techniques achieve very nearby performance with low complexity compare to Whitening rotation based technique. Also first technique with perfect R outperforms Whitening Rotation based technique.

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