Title :
Reduced Complexity MIMO Channel Estimation and Equalization using a Polynomial-Predictor-based Vector GLMS Algorithm
Author :
Kho, Yau Hee ; Taylor, Desmond P.
Author_Institution :
Univ. of Canterbury, Christchurch
Abstract :
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.
Keywords :
MIMO communication; Rayleigh channels; Rician channels; channel estimation; equalisers; least mean squares methods; polynomial approximation; recursive estimation; telecommunication computing; MIMO channel estimation; Rayleigh fading environment; Rician fading environment; VGLMS algorithm; VGRLS algorithm; equalization; polynomial predictor; vector generalized least mean squares estimator; vector generalized recursive least squares estimator; AWGN; Channel estimation; Frequency estimation; Land mobile radio; Least squares approximation; MIMO; Mobile communication; Polynomials; Receiving antennas; Rician channels;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1144-3
Electronic_ISBN :
978-1-4244-1144-3
DOI :
10.1109/PIMRC.2007.4394316
