Chaotic secure communication based on particle filtering

Bai Zhang, Maoyin Chen, Donghua Zhou

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Applying the particle filtering technique, this paper considers the problem of chaotic secure communication. Even if there exist system noise and measurement noise in chaotic maps, the modulated messages can be estimated by a modified particle filter algorithm, i.e. a particle filter with message estimation. Furthermore, the driving signal can be arbitrarily nonlinear, which improves the security level for communication. Simulation results of Holmes map verify our main result.

Original languageEnglish (US)
Pages (from-to)1273-1280
Number of pages8
JournalChaos, Solitons and Fractals
Volume30
Issue number5
DOIs
StatePublished - Dec 2006
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • General Mathematics
  • General Physics and Astronomy
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Chaotic secure communication based on particle filtering'. Together they form a unique fingerprint.

Cite this