An Improved Algorithm for Q-Scale Analysis in Jitter Decomposition

High-speed transceivers are the essential component of data acquisition systems for high-energy physics (HEP). When the data rate increases to several Giga transmissions per second (GT/s), jitter becomes one of the bottlenecks limiting the data transfer rate. Total jitter (TJ) can be modeled as a superposition of an unbounded random component that follows a Gaussian distribution and a bounded deterministic component. In this article, an improved algorithm is proposed for Q-scale analysis by estimating a value of the parameter for deterministic jitter (DJ) and selecting a dynamic fitting interval. The validation results indicate that the error between the measured values and theoretical values is less than 5%, which is better than traditional algorithms. At the same time, the algorithm has better measurement stability and higher data utilization.