WINDOW: Wideband Demodulator for Optical Waveforms
Omri Lev, Tal Wiener, Deborah Cohen, Yonina C. Eldar

TL;DR
The paper introduces WINDOW, a novel wideband optical waveform demodulation method that uses analog RF demodulation and spectrum aliasing to improve signal recovery in high-rate optical communication systems, overcoming ADC bandwidth limitations.
Contribution
The paper presents a new multi-channel sampling scheme, WINDOW, that employs analog RF demodulation and spectrum aliasing, outperforming traditional multicoset methods in noisy environments.
Findings
WINDOW improves signal recovery over multicoset in noisy conditions.
The method increases SNR by leveraging ADC filter for integration.
WINDOW is slightly less robust to timing jitter than multicoset.
Abstract
Optical communication systems, which operate at very high rates, are often limited by the sampling rate bottleneck. The optical wideband regime may exceed analog to digital converters (ADCs) front-end bandwidth. Multi-channel sampling approaches, such as multicoset or interleaved ADCs, have been proposed to sample the wideband signal using several channels. Each channel samples below the Nyquist rate such that the overall sampling rate is preserved. However, this scheme suffers from two practical limitations that make its implementation difficult. First, the inherent anti-aliasing filter of the samplers distorts the wideband signal. Second, it requires accurate time shifts on the order of the signal's Nyquist rate, which are challenging to maintain. In this work, we propose an alternative multi-channel sampling scheme, the wideband demodulator for optical waveforms (WINDOW), based on…
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