Semi-blind SIMO flat-fading channel estimation in unknown spatially correlated noise using the EM algorithm

Date
2004-06-01
Authors
Wang, Zhengdao
Wang, Zhengdao
Dogandžić, Aleksandar
Mo, Wei
Dogandžić, Aleksandar
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Abstract

We present a maximum likelihood (ML) method for semi-blind estimation of single-input multi-output (SIMO) flat-fading channels in spatially correlated noise having unknown covariance. An expectation-maximization (EM) algorithm is utilized to compute the ML estimates of the channel and spatial noise covariance. We derive the Crame´r-Rao bound (CRB) matrix for the unknown parameters and present a symbol detector that utilizes the EM channel estimates. Numerical simulations demonstrate the performance of the proposed method.

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<p>This is a post-print of an article from <em>IEEE Transactions on Signal Processing</em> 52 (2004): 1791–1797, doi:<a href="http://dx.doi.org/10.1109/TSP.2004.827200" target="_blank">10.1109/TSP.2004.827200</a>. Posted with permission.</p>
Keywords
Channel estimation, Covariance matrices, Fading channels, Interference suppression, Iterative methods, Maximum likelihood estimation, Optimisation
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