Novel semi-blind channel estimation schemes for Rician fading MIMO channel

Jaymin K. Bhalani; Dharmendra V. Chauhan; Yogeshwar Prasad Kosta; A. I. Trivedi

doi:10.3103/S0735272712040012

Authors

Jaymin K. Bhalani Babaria Institute of Technology, Vadodara, India
Dharmendra V. Chauhan Charotar University of Science and Technology, Changa, India
Yogeshwar Prasad Kosta Marwadi Education Foundation Group of Institutions, Rajkot, India
A. I. Trivedi M. S. University, India

DOI:

https://doi.org/10.3103/S0735272712040012

Keywords:

orthogonal Pilot ML estimator, QR decomposition, whitening rotation, semi-blind channel estimation, Rician fading

Abstract

In this paper, we propose two novel semi-blind channel estimation techniques based on QR decomposition for Rician fading Multiple Input Multiple output (MIMO) channel. In the first technique, the MIMO channel matrix H can be decomposed as an upper triangular matrix R and an unitary rotation matrix Q as H = RQ. The matrix R is estimated blindly from only received data by using orthogonal matrix triangularization based Householder 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. Simulation results have been taken under 4-PSK data modulation scheme using two transmitters and six receiver antennas for different Rice factor K show that BER performance increases with increase in Rice factor. We compare these two new techniques with conventional Whitening Rotation (WR) based semi-blind channel estimation technique and the result shows that first proposed technique outperforms and second technique achieves very nearby performance compared to whitening rotation based technique.

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