A proficient channel estimation method for MIMO system

Multiple-input multiple-output (MIMO) wireless communication systems rely upon the knowledge of channel state information (CSI) at the receiver for data detection and decoding. In this paper, a better performance and reduced complexity channel estimation method is proposed for MIMO systems based on matrix factorization. This technique is applied on least squares (LS) channel estimation for performance improvement. Experimentation results indicate that the proposed method not only alleviates the performance of channel estimation but also significantly reduces the complexity caused by matrix inversion. The performance evaluations are validated through computer simulations using MATLAB® 7.0 in terms of BER. Simulation results show that the performance and complexity of the proposed method clearly outperforms the conventional LS channel estimation method.