LMS estimation via structural detection

Author

Homer, John ; Mareels, Iven ; Bitmead, Robert R. ; Wahlberg, Bo ; Gustafsson, Fredrik

Author_Institution

Dept. of Comput. Sci. & Electr. Eng., Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

46

Issue

10

fYear

1998

fDate

10/1/1998 12:00:00 AM

Firstpage

2651

Lastpage

2663

Abstract

We consider the LMS estimation of a channel that may be well approximated by an FIR model with only a few nonzero tap coefficients within a given delay horizon or tap length n. When the number of nonzero tap coefficients m is small compared with the delay horizon n, the performance of the LMS estimator is greatly enhanced when this specific structure is exploited. We propose a consistent algorithm that performs identification of nonzero taps only. The results are illustrated via a simulation study

Keywords

FIR filters; adaptive estimation; adaptive filters; adaptive signal detection; delays; filtering theory; least mean squares methods; telecommunication channels; FIR model; LMS estimation; adaptive estimation; adaptive filter; channel estimation; consistent algorithm; delay horizon; identification; nonzero tap coefficients; performance; simulation study; structural detection; tap length; Acoustic applications; Adaptive estimation; Circuit simulation; Cyclic redundancy check; Delay estimation; Finite impulse response filter; Land mobile radio; Least squares approximation; Least squares methods; Telephony;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.720368

Filename

720368