Reduced Complexity MIMO Channel Estimation and Equalization using a Polynomial-Predictor Based Vector GLMS Algorithm (2007)
AuthorsKho, Y.H., Taylor, D.P.show all
A reduced complexity multiple-input multiple-output (MIMO) channel estimator known as the polynomial-predictor-based vector generalized least mean squares (VGLMS) estimator is developed. It is a simplification of a previously developed polynomial-predictor-based vector generalized recursive least squares (VGRLS) estimator, achieved by replacing the online recursive computation of the ‘intermediate’ matrix by an offline pre-computed matrix. Similar to the VGRLS estimator, it is able to operate in Rayleigh or Rician fading environments without reconfiguration of the state transition matrix to accommodate the non-random mean components. It is seen to offer a trade-off between reduced complexity channel estimation and good system performance.
CitationKho, Y.H., Taylor, D.P. (2007) Reduced Complexity MIMO Channel Estimation and Equalization using a Polynomial-Predictor Based Vector GLMS Algorithm. Athens, Greece: 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio (PIMRC 2007), 3-7 Sep 2007. The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'07), 5pp.
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