Chaotic time series analysis of AM, FM, SSB, and FSK signals

Philip T. Downes

doi:10.1117/12.162689

18 November 1993 Chaotic time series analysis of AM, FM, SSB, and FSK signals

Philip T. Downes

Proceedings Volume 2038, Chaos in Communications; (1993) https://doi.org/10.1117/12.162689
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

Chaotic time series analysis methods are applied to communications signals for characterization. Ergodic invariants of nonlinear physical processes are calculated for signals collected from AM, FM, FSK, and SSB radios. Previous work detailed information dimension and Lyapunov exponent calculations for these modulation types. The prevalence of positive Lyapunov exponents across modulation types indicated the presence of chaotic processes. Current results continue to indicate the appropriateness of this methodology for signal processing. Here, the results of the calculations of metric entropy, topological entropy, symbolic dynamics, recurrence maps, and circuit models are presented.

Citation Download Citation

Philip T. Downes "Chaotic time series analysis of AM, FM, SSB, and FSK signals", Proc. SPIE 2038, Chaos in Communications, (18 November 1993); https://doi.org/10.1117/12.162689

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