Evaluation of the power spectral density of guided scrambling coded sequences

Author

Fair, I.J. ; Bhargava, V.K. ; Wang, Q.

Author_Institution

Dept. of Electr. Eng., Tech. Univ. Nova Scotia, Halifax, NS, Canada

Volume

144

Issue

2

fYear

1997

fDate

4/1/1997 12:00:00 AM

Firstpage

70

Lastpage

78

Abstract

The authors develop a practical method of evaluating the power spectral density of guided scrambling line-coded sequences. Analysis of block-coded signals is reviewed, and it is shown that it is impractical to analyse continuous guided scrambling coded sequences with expressions presented elsewhere in the literature. Alternative expressions for sequence autocorrelation are derived which depend on the relationship of several code parameters. Two relationships are considered in detail, and it is shown how expressions derived in these instances can be applied to other guided scrambling codes. Using these expressions, the spectral characteristics of several continuous guided scrambling codes are evaluated. These spectra demonstrate the important result that variation in the average statistics of the coded sequences with varying source-stream statistics decreases as the degree of the scrambling polynomial increases

Keywords

binary sequences; block codes; correlation methods; spectral analysis; statistical analysis; average statistics; block-coded signals; code parameters; continuous guided scrambling codes; guided scrambling line coded sequences; power spectral density; scrambling polynomial degree; sequence autocorrelation; source-stream statistics; spectral characteristics;

fLanguage

English

Journal_Title

Communications, IEE Proceedings-

Publisher

iet

ISSN

1350-2425

Type

jour

DOI

10.1049/ip-com:19971110

Filename

587430