Detection guided LMS estimation of sparse channels

Author

Homer, J.

Author_Institution

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

Volume

6

fYear

1998

fDate

1998

Firstpage

3704

Abstract

We consider the LMS estimation of a channel which may be well approximated by an FIR model with sparsely separated active or nonzero taps. Such channels are common within telecommunication systems. We propose an active tap detection procedure to exploit this sparse structure and, subsequently, provide greatly enhanced LMS estimation. Unlike other previously proposed detection methods, our method is structurally consistent for both white and coloured input signals

Keywords

adaptive estimation; least mean squares methods; signal detection; telecommunication channels; transient response; FIR model; LMS adaptive FIR estimator; active tap detection; coloured input signal; detection guided LMS estimation; nonzero taps; signal sampling; sparse channels; sparsely separated active taps; telecommunication systems; white input signal; Circuits; Computer science; Finite impulse response filter; Information processing; Land mobile radio; Least squares approximation; Noise level; Signal processing; Telecommunications; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE

Conference_Location

Sydney,NSW

Print_ISBN

0-7803-4984-9

Type

conf

DOI

10.1109/GLOCOM.1998.776002

Filename

776002