Title :
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
fDate :
10/1/1998 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
