Impact of truncation on the statistical properties of LFSR sequences

Marco Baldi, Franco Chiaraluce, Noureddine Boujnah, Roberto Garello

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper investigates some theoretical issues related with the truncation of maximum length sequences. It is shown that truncation can have a significant impact on the autocorrelation properties, mining the applicability of these sequences in practical applications. First and second order statistics for the autocorrelation function are considered, and some new relations are presented that simplify computation. As an example of practical impairment, we focus on space communication links and we consider the changes that occur in the transmitted waveform power spectral density when truncated sequences are used for data randomization.

Original languageEnglish
Title of host publication3rd International Conference on Signals, Circuits and Systems, SCS 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event3rd International Conference on Signals, Circuits and Systems, SCS 2009 - Medenine, Tunisia
Duration: 06 Nov 200908 Nov 2009

Publication series

Name3rd International Conference on Signals, Circuits and Systems, SCS 2009

Conference

Conference3rd International Conference on Signals, Circuits and Systems, SCS 2009
Country/TerritoryTunisia
CityMedenine
Period06/11/200908/11/2009

Keywords

  • Autocorrelation function
  • Linear feedback shift registers
  • Maximum-length sequences
  • Truncation noise

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