Optimal sequences for channel estimation using discrete Fourier transform techniques

Author

Tellambura, C. ; Parker, M.G. ; Guo, Y. Jay ; Shepherd, Simon J. ; Barton, Stephen K.

Author_Institution

Dept. of Electr. & Electron. Eng., Bradford Univ., UK

Volume

47

Issue

2

fYear

1999

fDate

2/1/1999 12:00:00 AM

Firstpage

230

Lastpage

238

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 minimizes 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

codes; discrete Fourier transforms; dispersive channels; frequency-domain analysis; optimisation; parameter estimation; search problems; sequences; channel estimation; communication systems; discrete Fourier transform techniques; efficient directed search; estimation error variance minimisation; frequency domain estimation; frequency domain processing; gain loss factor; lower bound; optimal codes; optimal sequences length; optimum training sequence; search criterion; time-dispersive channels; upper bound; Channel estimation; Communication systems; Discrete Fourier transforms; Estimation error; Frequency domain analysis; Frequency estimation; Maximum likelihood estimation; Spread spectrum communication; White noise; Wiener filter;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.752128

Filename

752128