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
fDate :
4/1/1986 12:00:00 AM
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;
Journal_Title :
Electronic Circuits and Systems, IEE Proceedings G
DOI :
10.1049/ip-g-1:19860014
