Title :
MIMO Receiver Using Reduced Complexity Sequence Estimation With Channel Estimation and Tracking
Author :
Kho, Yau Hee ; Taylor, Desmond P.
Author_Institution :
Res. Centre, Univ. of Canterbury, Christchurch
Abstract :
A sequence-based multiple-input-multiple-output receiver incorporating channel estimation and tracking for a frequency selective fading environment is developed. It employs near-maximum likelihood sequence estimation using the partitioned Viterbi algorithm and offers linearly increasing complexity with the number of transmit antennas. The receiver implements channel estimation and tracking using a vector-polynomial-based generalized recursive least squares algorithm. The resulting integrated receiver can operate in a continuously time-varying Rayleigh or Rician fading environment. Simulation results show that it offers a good tradeoff between complexity and performance. Further complexity reduction can be achieved using tentative decisions as reference signals to the estimator and a reduced complexity form of the estimator.
Keywords :
MIMO communication; Rayleigh channels; Rician channels; channel estimation; least squares approximations; maximum likelihood estimation; receivers; MIMO receiver; Viterbi algorithm a; channel estimation; channel tracking; frequency selective fading environment; near-maximum likelihood sequence estimation; reduced complexity sequence estimation; sequence-based multiple-input-multiple-output receiver; time-varying Rayleigh fading environment; time-varying Rician fading environment; transmit antennas; vector-polynomial-based generalized recursive least squares algorithm; Channel estimation; Equalizers; channel estimation; equalizers; fading channels; mobile communication; multiple-input multiple-output (MIMO) systems; multiple-input–multiple-output (MIMO) systems;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2008.926589