Adaptive pseudo-maximum likelihood data estimation algorithm

Author

Sadjadpour, Hamid R. ; Weber, Charles L.

Author_Institution

AT&T Bell Labs., Whippany, NJ, USA

Volume

1

fYear

1998

fDate

1-4 Nov. 1998

Firstpage

32

Abstract

A pseudo-maximum likelihood data estimator (PML) algorithm for discrete channels with finite memory in an additive white Gaussian noise environment is described. Unlike the traditional methods which utilizes Viterbi algorithm (VA) for data sequence estimation, the PML algorithm offers an alternative solution to the problem. The adaptive PML (APML) algorithm is then introduced which is suitable for time-variant channels. The performance of the APML-based algorithms are compared to that of the VA-based approaches for Rayleigh fading channels.

Keywords

AWGN; Rayleigh channels; adaptive estimation; cellular radio; intersymbol interference; maximum likelihood sequence estimation; time-varying channels; North American cellular system; Rayleigh fading channels; Viterbi algorithm; adaptive estimation algorithm; additive white Gaussian noise; data sequence estimation; discrete channels; finite memory; mobile radio communications; performance; pseudo-maximum likelihood data estimation; time-variant channels; Adaptive signal processing; Blind equalizers; Deconvolution; Finite impulse response filter; Gaussian channels; Laboratories; Maximum likelihood estimation; Signal processing algorithms; Tellurium; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5148-7

Type

conf

DOI

10.1109/ACSSC.1998.750823

Filename

750823