定时同步中式样抖动消减算法研究

Research of pattern jitter reduction algorithms in timing synchronization

为了解决Gardner定时同步环路式样抖动较大的问题,对现有的各种式样抖动消减算法进行了归类研究,将其划分为算法修正类和波形预处理类两类,并分别从S曲线特性及定时抖动方差等性能对各类算法进行了理论和仿真分析,同时以修正的克拉美罗界(MCRB)作为衡量算法优劣的标准。最后简单总结了各类算法的实际应用场景及未来的研究方向。

In order to solve the problem of larger pattern jitter in Gardner timing synchronization loop, various pattern jitter reduction algorithms existing are classified and researched, which are divided into two categories of modification and waveform pretreatment of algorithms. With the modified Cramer-Rao bound（MCRB） as a criteria for judging the quality of researched algorithms, these algorithms are separately analyzed from the S curve characteristics and timing jitter variance in theory and simulation. Finally, the actual application scenes of various algorithms and future research directions are simply summarized.