Channel estimation using discrete Fourier transform techniques

Author

Tellambura, C. ; Parker, Matthew G. ; Barton, S.K.

Author_Institution

Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia

Volume

1

fYear

1998

fDate

1998

Firstpage

148

Abstract

This paper addresses the problem of selecting the optimum training sequence for channel estimation in communication systems over time-dispersive channels. By processing in the frequency domain, a new explicit form of search criterion is found, the gain loss factor (GLF), which minimises the variance of the estimation error and is easy to compute. Theoretical upper and lower bounds on the GLF are derived. An efficient directed search strategy and optimal sequences up to length 42 are given. These sequences are optimal only for frequency domain estimation, not for time domain estimation

Keywords

FIR filters; digital communication; discrete Fourier transforms; dispersive channels; error statistics; filtering theory; frequency-domain analysis; sequences; time-domain analysis; FIR filter; burst transmission; channel estimation; communication systems; digital communication systems; directed search strategy; discrete Fourier transform; estimation error variance minimisation; frequency domain estimation; frequency domain processing; gain loss factor; optimal sequences; optimum training sequence selection; search criterion; sequence length; time-dispersive channels; Channel estimation; Computer science; Discrete Fourier transforms; Discrete transforms; Estimation error; Frequency domain analysis; Information systems; Software engineering; White noise; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE

Conference_Location

Sydney,NSW

Print_ISBN

0-7803-4984-9

Type

conf

DOI

10.1109/GLOCOM.1998.775715

Filename

775715