Title :
Joint order detection and blind channel estimation by least squares smoothing
Author :
Tong, Lang ; Zhao, Qing
Author_Institution :
Dept. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
9/1/1999 12:00:00 AM
Abstract :
A joint order detection and blind estimation algorithm for single input multiple output channels is proposed. By exploiting the isomorphic relation between the channel input and output subspaces, it is shown that the channel order and channel impulse response are uniquely determined by finite least squares smoothing error sequences in the absence of noise. The proposed subspace algorithm is shown to have marked improvement over existing algorithms in performance and robustness in simulations
Keywords :
estimation theory; identification; least squares approximations; signal detection; smoothing methods; telecommunication channels; transient response; blind channel estimation; channel input; finite least squares smoothing error sequences; impulse response; isomorphic relation; order detection; output subspaces; performance; robustness; single input multiple output channels; subspace algorithm; Blind equalizers; Channel estimation; Chromium; Convergence; Least squares approximation; Least squares methods; Noise robustness; Signal processing algorithms; Smoothing methods; Stochastic resonance;
Journal_Title :
Signal Processing, IEEE Transactions on
