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Proposed is a novel Orthogonal Procrustes (OP) based semi-blind channel estimation method for multi-input, multi-output (MIMO) systems. The main idea of our technique is, using specific properties of the OP algorithm, to estimate the optimum rotation matrix from channel matrix instead of to estimate channel parameters directly. This results in substantially improved estimation accuracy. Furthermore,...
This paper presents a least square based semi-blind channel estimation using the new orthogonal pilot scheme for multiple-input multiple-output (MIMO) wireless communications. In practice, knowledge of the wireless unknown channel is often estimated by sending known training symbols to the receiver. We determine the optimal training sequence aiming to minimize the mean square error (MSE) of the channel...
A novel semi-blind orthogonal procrustes based channel estimation technique is developed for Multiple Input Multiple Output (MIMO) systems operating in the presence over Rayleigh flat-fading channels. We propose to implement the channel matrix via a QR factorization based algorithm, which is suitable for operating in conjunction with the orthogonal procrustes (OP) estimator. The presented estimator...
The whitening-rotation (WR)-based semi-blind methods have been shown to achieve much better channel estimation performance than the conventional training-based methods for MIMO systems. In this paper, the performance analysis is conducted for an ideal WR-based method, in which the knowledge of the ideal whitening matrix is known a priori. This analysis is a valuable study since the ideal WR-based...
Effects of improved channel estimation are studied for a proposed IEEE 802.11n OFDM MIMO system. Three channel estimation methods are considered: maximum likelihood (ML), time-domain truncation (TDT) and model-based (MB). TDT and MB are particularly useful when the channel delay spread is short. For an MMSE receiver, MB shows a 1-2.5 dB improvement over ML on the packet error rate performance for...
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