Research On Jitter Separation Based On Tailfit Algorithm And Bathtub Curve

As data rates increase effects of jitter becomes critical and jitter budgets get tighter. Jitter directly works on the index of systems. Jitter has always degraded electrical systems. To reduce jitter in system redesign, it is needed to find out the character of jitter and identify jitter sources. It's necessary to study jitter in order to improve the level of circuit design.Faced this problem, this paper puts forward a technique of jitter separation based on Tailfit algorithm. The main contents are illustrated as follows:1. The definition and categories of jitter are introduced, it analyzes three sorts of familiar jitter as timing jitter, period jitter, cycle-to-cycle jitter and the relation between them. At last, it analyzes the models of jitter's components and its features.2. Real-time oscilloscopes with jitter analysis and high-speed pulse/pattern generators are used to separate and time-correlate specific deterministic jitter components to help identify, measure, and view sources of systematic timing errors.3. It analyzes the principle of Tailfit algorithm and its flow chart, provides the fitting result, which had shown the efficiency of the algorithm. At last, it researches the flow charts of bathtub curve and its feature.