Knowledge based identification of fractionally sampled channels

Author

Ding, Zhi ; Mao, Z.

Author_Institution

Dept. of Electr. Eng., Auburn Univ., AL, USA

Volume

3

fYear

1995

fDate

9-12 May 1995

Firstpage

1996

Abstract

Blind channel identification has been a popular research subject in recent years. We introduce the concept of knowledge-based blind channel identification. By relying on known information such as the pulse shaping filter and the antialiasing filter responses, the performance of channel identification and equalization can be significantly enhanced in digital communication systems. We present two simple methods: one in time-domain and one in frequency domain. Our simulation results demonstrate the performance of these two approaches

Keywords

digital communication; filtering theory; frequency-domain analysis; knowledge based systems; parameter estimation; signal sampling; telecommunication channels; time-domain analysis; antialiasing filter response; blind channel identification; channel equalization; digital communication systems; fractionally sampled channels; frequency domain method; knowledge based blind channel identification; performance; pulse shaping filter; simulation results; time-domain method; Covariance matrix; Data communication; Digital communication; Digital filters; Frequency domain analysis; HDTV; Pulse modulation; Pulse shaping methods; Quadrature amplitude modulation; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480666

Filename

480666