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SCALABLE INTEGER BASED FREQUENCY ERROR ESTIMATION TECHNIQUE FOR CLOCK RECOVERY IN PACKET SWITCHED NETWORKS

机译:基于整数基于整数的分组交换网络时钟恢复的频率误差估计技术

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In Digital Video Broadcasting (DVB) there is large jitter due to delayed arrival of PCR packets The expected jitter in the transmission channel can vary from less than l/10th of a msec (terrestrial transmission) upto a maximum of few hundred msec (IP transmission). The classical clock recovery algorithms correct the clock with the arrival of each new PCR packet, require a very narrow bandwidth filter to pass out high frequency jitter noise and are based on floating point arithmetic. The system stability and the response time becomes an issue as the jitter in the system increases. In this paper we present a new integer based approach to measuring the frequency error and present a low complexity algorithm based on Normalized Least Mean Square Algorithm for estimating the frequency error in the presence of large jitter in the transmission channel. The algorithm is scalable and has been shown to scale to both low jitter (terrestrial) and high jitter (IP based networks) transmission channels by simply changing the learning time of the system.
机译:在数字视频广播(DVB)中,由于PCR分组延迟到达,传输信道中的预期抖动具有大的抖动可以从小于L / 10的MSEC(地面传输),最多只有几百毫秒(IP传输)。经典时钟恢复算法校正每个新PCR数据包的到达时钟,需要非常窄的带宽滤波器来传出高频抖动噪声并基于浮点算术。系统稳定性和响应时间成为系统中抖动的问题。本文介绍了一种基于整数的基于整数的方法来测量频率误差并基于归一化最小均方算法的低复杂性算法,用于在传输信道中存在大抖动中的大抖动中的频率误差。该算法通过简单地改变系统的学习时间,已被示出为扩展到低抖动(地面)和高抖动(基于IP的网络)传输信道。

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