4.8 Article

All-Optical Parametric-Assisted Oversampling and Decimation for Signal Denoising Amplification

Journal

LASER & PHOTONICS REVIEWS
Volume 17, Issue 6, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/lpor.202200711

Keywords

noise mitigation; optical decimation; parametric amplification

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This article proposes a novel optical signal processing concept called Parametric-assisted Oversampling and Decimation (POD), which is inspired by decimation in digital signal processing. By utilizing ultra-fast parametric oversampling and lossless decimation, the POD processor can amplify and sample the optical signal, effectively reducing noise interference.
Decimation is a common process in digital signal processing that involves reducing the sampling rate of an oversampled signal by linearly combining consecutive samples. Among other applications, this process represents a simple means to mitigate noise content in the digital signal. In this work, a novel optical signal processing concept inspired by these operations is proposed, which is called Parametric-assisted Oversampling and Decimation (POD). By using a simple all-fiber setup, the POD processor first realizes an ultra-fast parametric oversampling of the incoming temporal signal (at >100 Gigasamples per second), a process that is followed by a decimation that reduces the sampling rate by any user-defined factor in a lossless manner. In this way, the POD delivers an amplified sampled copy of the optical signal, where the peak-to-peak gain results from the combination of parametric amplification and a passive amplification equal to the decimation factor. In this report, joint parametric and passive amplification by a factor approximate to 50 on GHz-bandwidth signals is demonstrated. Furthermore, it is shown that the decimation process can effectively mitigate effects of narrowband noise, outperforming traditional optical and digital filtering techniques. By experimentally achieving ultra-high decimation factors (>750), narrowband (MHz-bandwidth) optical waveformsthat are lost in a much stronger noise background are recovered.

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