Spread Spectrum Modulation and Signal Masking Using Synchronized Chaotic Systems

Abstract

Chaotic dynamical systems are nonlinear deterministic systems which often exhibit erratic and irregular behavior. The signals that evolve in these systems are typically broadband, noise-like and similar in many respects to a stochastic process. Because of these properties chaotic signals potentially provide an important class of signals which can be utilized in various communications, radar and sonar contexts for masking information-bearing waveforms and as modulating waveforms in spread spectrum systems. Recently, it has been demonstrated that the chaotic Lorenz and Rossler systems can be decomposed into a drive system and a stable response subsystem which will synchronize when coupled with a common drive signal. This property has several practical applications and suggests novel approaches to secure communication and signal masking. In addition to the Lorenz and Rossler systems, we discuss and demonstrate that the continuous-time Double Scroll system and discrete-time Henon map are also decomposable into synchronizing subsystems. We then propose and explore in a preliminary way how synchronized chaotic systems can be used for spread spectrum communication and for various signal masking purposes.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1992
Accession Number
ADA459567

Entities

People

  • Alan V. Oppenheim
  • Kevin M. Cuomo
  • Steven H. Isabelle

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Communication Systems
  • Demodulation
  • Demodulators
  • Difference Equations
  • Differential Equations
  • Equations
  • Frequency
  • Frequency Response
  • Modulation
  • Modulators
  • Noise
  • Power Spectra
  • Signal Processing
  • Spectra
  • Spread Spectrum
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Control Systems Engineering.
  • Radar Systems Engineering.
  • Radio communications and signal processing.