Analog signal processing for ultra high speed data communication

Author

Sun, Jie ; Gupta, Dev V. ; Kelly, Patrick A. ; Gong, Weibo

Author_Institution

Univ. of Massachusetts, Amherst

fYear

2007

fDate

10-13 Dec. 2007

Firstpage

1

Lastpage

5

Abstract

We propose a method to design a complete analog communication system for communication at multi-gigabit per second data rate. Our system is comprised of transmit and receive matched filters and a stable analog equalizer. A modified IIR LMS algorithm is presented to adaptively adjust the parameters of the equalizer for time-varying channels. The convergence analysis is provided and the simulation results are presented.

Keywords

IIR filters; convergence of numerical methods; data communication; equalisers; filtering theory; least mean squares methods; matched filters; signal processing; time-varying channels; transient response; IIR LMS algorithm; analog equalizer; analog signal processing; convergence analysis; receive matched filters; time-varying channels; transmitting filters; ultra high speed data communication; Analytical models; Convergence; Data communication; Design methodology; Equalizers; Least squares approximation; Matched filters; Signal processing; Signal processing algorithms; Time-varying channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications & Signal Processing, 2007 6th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-0982-2

Electronic_ISBN

978-1-4244-0983-9

Type

conf

DOI

10.1109/ICICS.2007.4449836

Filename

4449836