Algorithms for joint channel estimation and data recovery-application to equalization in underwater communications

Author

Feder, Meir ; Catipovic, Josko A.

Author_Institution

Dept. of Electr. Eng.-Syst., Tel-Aviv Univ., Ramat-Aviv, Israel

Volume

16

Issue

1

fYear

1991

fDate

1/1/1991 12:00:00 AM

Firstpage

42

Lastpage

55

Abstract

Methods for joint ocean-channel estimation and data recovery are derived using an optimal, maximum likelihood (ML) estimation criterion. The resulting ML problems may be complex, thus iterative algorithms are used, e.g. the expectation-maximization (EM) algorithm. The different methods correspond to different assumptions about the ocean channel. The theoretical derivation of these methods as well as preliminary results on simulated ocean data experiments are presented

Keywords

acoustic signal processing; data communication systems; digital simulation; equalisers; estimation theory; iterative methods; optimisation; telecommunication channels; telecommunications computing; underwater sound; data recovery; equalization; expectation-maximization; iterative algorithms; joint channel estimation; multipath model; ocean-channel estimation; optimal maximum likelihood estimation; underwater communications; Acoustical engineering; Bandwidth; Channel estimation; Data communication; Iterative algorithms; Maximum likelihood estimation; Oceans; Signal to noise ratio; Underwater acoustics; Underwater communication;

fLanguage

English

Journal_Title

Oceanic Engineering, IEEE Journal of

Publisher

ieee

ISSN

0364-9059

Type

jour

DOI

10.1109/48.64884

Filename

64884