A robust method for identifying a deterministic jitter model in a total jitter distribution

Abstract

A new method for identifying a deterministic jitter (DJ) model in a total jitter (TJ) distribution is introduced in this paper. The new method is based on the characteristic function and identifies the DJ model from the given TJ PDF contaminated by an unknown DJ PDF. Benchmark testing using sinusoidal jitter provides validation of the new method for high-performance identification of the DJ model. Experiments on a variety of TJ PDFs also validate the very low false alarm probability of the new method.