Proceedings PaperChaotic time series analysis of AM, FM, SSB, and FSK signals
|Format||Member Price||Non-Member Price|
|GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free.||Check Access|
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.