Title :
Adaptive Reduced-Rank MMSE Parameter Estimation Based on an Adaptive Diversity-Combined Decimation and Interpolation Scheme
Author :
de Lamare, Rodrigo C. ; Sampaio-Neto, Raimundo
Author_Institution :
Commun. Res. Group, York Univ., UK
Abstract :
This work proposes a low-complexity reduced-rank method for general parameter estimation using an adaptive decimation and interpolation scheme based on diversity-combining. The new approach employs an iterative procedure to jointly optimize the interpolation, decimation and estimation tasks for reduced-rank parameter estimation. We describe joint iterative minimum mean-squared error (MMSE) design filters, propose alternative decimation structures, including the optimal decimation scheme, and develop low-complexity adaptive algorithms for the proposed structure. Simulations for a block equalization application in doubly-selective channels show the remarkable potential of the proposed scheme.
Keywords :
adaptive equalisers; diversity reception; filtering theory; interpolation; least mean squares methods; adaptive decimation; adaptive diversity; adaptive reduced-rank MMSE parameter estimation; block equalization application; doubly-selective channels; interpolation scheme; iterative minimum mean-squared error design filters; optimal decimation scheme; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Finite impulse response filter; Interpolation; Iterative methods; Least squares approximation; Parameter estimation; Wiener filter; Adaptive estimation; iterative methods; reduced-rank techniques;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.367087
