Predictive analog-digital-conversion in fiber optics communication

Yaron Yoffe, Dan Sadot

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Advances in digital hardware had enabled a new generation of fiber optics communication receivers. Extensive digital-signal-processing (DSP) allows compensating for channel impairments and, in turn, scaling up in data rate. One of the main challenges in modern receivers is implementing a high-rate, high-precision analog-to-digital-converter (ADC) that could meet the system requirements. Since ADCs technology is usually far from the highest rates available, reducing required resolution is imperative for present and future receivers. In this paper a predictive quantization approach is investigated. We show that common optical channel and components impairments introduce sufficient waveform correlation, which may be leveraged to significantly improve the Analog-to-digital-conversion process. Simulation results had shown that implementing low-complexity predictive quantization systems improves SNR performance, and may be used to reduce required resolution.

Original languageAmerican English
Title of host publication2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
ISBN (Electronic)9781479959877
DOIs
StatePublished - 1 Jan 2014
Event2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/TerritoryIsrael
CityEilat
Period3/12/145/12/14

Keywords

  • Analog-to-digital converter (ADC)
  • Differential pulse code modulation (DPCM)
  • Digital signal processing (DSP)
  • Optical communications

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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