Pursley's aperiodic cross-correlation functions revisited

Pursley's aperiodic cross-correlation function of one delay parameter, which plays an important role in the quasi-synchronous state, is revisited. Using sequences up-sampled by a factor of M, we generalize this function to the one with two discrete delay parameters which play an important role...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on circuits and systems. 1, Fundamental theory and applications Fundamental theory and applications, 2003-06, Vol.50 (6), p.800-805
Main Authors: Kohda, T., Fujisaki, H.
Format: Article
Language:English
Subjects:
Application software
Baseband
Circuits and systems
Delay effects
Estimation theory
Machine assisted indexing
Multiaccess communication
Multiple access interference
Random variables
Spread spectrum communication
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Pursley's aperiodic cross-correlation function of one delay parameter, which plays an important role in the quasi-synchronous state, is revisited. Using sequences up-sampled by a factor of M, we generalize this function to the one with two discrete delay parameters which play an important role in asynchronous state. Furthermore, Markov spreading sequences are shown to be simply generated by a two-state Markov chain. Applying the central limit theorems, in particular, the Fortet-Kac theorem to the aperiodic cross-correlation function of spreading sequences with Markovity, we can get theoretical estimate of the variance of multiple-access interference.
ISSN:1057-7122
1558-1268
DOI:10.1109/TCSI.2003.812605