Time-of-flight estimation using synchronized chaotic systems

Time-of-flight (ToF) estimation is a basic building block in many metrological applications. From a signal processing point of view chaotic signals exhibit properties which make them well suited for this class of applications. In this paper we experimentally investigate the applicability of synchronized chaotic systems in a ToF measurement system. In particular, we show that the choice of the numerical solver has a significant impact on the estimation performance. We further present a new de lay estimator based on Poincare intersections and compare the resultant estimation performance with the performance of a standard correlation-based delay estimator.