DocumentCode
1607796
Title
The frequency and symbol rate offset compensating algorithm for simultaneous estimation of echo and channel responses
Author
Li, Weiping ; Chen, Xixian ; Wang, Yi ; Miki, Nobuhiro
Author_Institution
Beijing Univ. of Posts & Telecommun., China
Volume
2
fYear
1996
Firstpage
1437
Abstract
This paper addresses two critical problems in designing the new full-duplex fast training algorithm for simultaneously estimating echo and channel responses. Although algorithms of this type have been discussed and evaluated in our previous publication, the proposed algorithm concentrates on the following two problems that were not solved in the previous approaches: (1) the symbol rate difference between the local transmitter and the remote transmitter, and (2) the frequency offsets in both far echo and far signal that are caused by the analog carrier network. The performance of the new method is analyzed in terms of mean-square error. Simulation results are presented to confirm the analysis
Keywords
echo suppression; frequency estimation; least squares approximations; modems; receivers; signal sampling; telecommunication channels; transmitters; Nyquist sampling theorem; analog carrier network; channel response estimation; echo cancellation; echo response estimation; far echo; far signal; frequency offset compensating algorithm; full-duplex fast training algorithm; least square estimation method; local transmitter; mean square error; performance; remote transmitter; simulation results; symbol rate difference; symbol rate offset compensating algorithm; two-wire full duplex data modems; Algorithm design and analysis; Analytical models; Computer science; Echo cancellers; Equalizers; Frequency estimation; Mathematical model; Modems; Sampling methods; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location
London
Print_ISBN
0-7803-3336-5
Type
conf
DOI
10.1109/GLOCOM.1996.587683
Filename
587683
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