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Blind estimation of unknown time delay in periodic non-uniform sampling: Application to desynchronized time interleaved-ADCs

机译:周期性非均匀采样中未知时间延迟的盲估计:在去同步时间交错ADC中的应用

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摘要

Increasing the sampling rate of Analog-to-Digital Converters (ADC) is a main challenge in many fields and especially in telecommunications. Time-Interleaved ADCs (TI-ADC) were introduced as a technical solution to reach high sampling rates by time interleaving and multiplexing several low-rate ADCs at the price of a perfect synchronization between them. Indeed, as the signal reconstruction formulas are derived under the assumption of uniform sampling, a desynchronization between the elementary ADCs must be compensated upstream with an online calibration and expensive hardware corrections of the sampling device. Based on the observation that desynchronized TI-ADCs can be effectively modeled using a Periodic Non-uniform Sampling (PNS) scheme, we develop a general method to blindly estimate the time delays involved in PNS. The proposed strategy exploits the signal stationarity properties and thus is simple and quite generalizable to other applications. Moreover, contrarily to state-of-the-art methods, it applies to bandpass signals which is the more judicious application framework of the PNS scheme.
机译:在许多领域,尤其是在电信中,提高模数转换器(ADC)的采样率是一项主要挑战。引入了时间交错ADC(TI-ADC)作为一种技术解决方案,它通过对多个低速率ADC进行时间交错和多路复用来达到高采样率,但它们之间却需要实现完美的同步。实际上,由于信号重构公式是在统一采样的假设下得出的,因此必须通过在线校准和采样设备的昂贵硬件校正在上游补偿基本ADC之间的失步。基于观察到可以使用周期性非均匀采样(PNS)方案有效建模失步TI-ADC的方法,我们开发了一种通用方法来盲目估计PNS中涉及的时间延迟。所提出的策略利用了信号平稳性,因此很简单并且可以推广到其他应用。此外,与最新技术相反,它适用于带通信号,这是PNS方案中更为明智的应用框架。

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