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    Reduced Complexity MIMO Channel Estimation and Equalization using a Polynomial-Predictor Based Vector GLMS Algorithm

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    Author
    Kho, Y.H.
    Taylor, D.P.
    Date
    2007
    Permanent Link
    http://hdl.handle.net/10092/4092

    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.

    Subjects
    Fields of Research::290000 Engineering and Technology::291700 Communications Technologies::291710 Radio communications and broadcasting not elsewhere classified
     
    Fields of Research::290000 Engineering and Technology::290900 Electrical and Electronic Engineering
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    • Engineering: Conference Contributions [1819]
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