DocumentCode
934854
Title
New results on the statistical properties of pseudonoise sequences
Author
Al-Mukhtar, A.A.A. ; Turner, L.F.
Author_Institution
Imperial College, Department of Electrical Engineering, London, UK
Volume
133
Issue
2
fYear
1986
fDate
4/1/1986 12:00:00 AM
Firstpage
99
Abstract
A mathematical model for a general periodic correlation function of pseudonoise (PN) sequences is proposed. The model is used to derive expressions for the probability density function of the correlation function, when its argument is a random variable with a uniform distribution. The model is also used to derive expressions for the autocorrelation function and power spectral density of lowpass filtered PN sequences.
Keywords
correlation theory; filtering and prediction theory; probability; statistical analysis; autocorrelation function; filtering theory; general periodic correlation function; lowpass filtered sequences; mathematical model; power spectral density; probability density function; pseudonoise sequences; statistical properties;
fLanguage
English
Journal_Title
Electronic Circuits and Systems, IEE Proceedings G
Publisher
iet
ISSN
0143-7089
Type
jour
DOI
10.1049/ip-g-1:19860014
Filename
4646748
Link To Document