A novel noise model based on balanced detection for an ultrafast line-scan imaging system

Kaimin Wang; Shanshan Jiang; Bo Dai; Yu Huang; Wei Li; Meiyong Xu; Xiangjun Xin; Dawei Zhang

doi:10.1016/j.optcom.2019.124508

A novel noise model based on balanced detection for an ultrafast line-scan imaging system

Kaimin Wang, Shanshan Jiang, Bo Dai, Yu Huang, Wei Li, Meiyong Xu, Xiangjun Xin, Dawei Zhang^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A novel noise model is proposed for a balanced-detection ultrafast imaging system to comprehensively analyze the noise in the system. The whole noise model is obtained by solving for erbium-doped fiber amplifier (EDFA) noise, intersymbol interference (ISI) noise and low-pass filter (LPF) noise successively with stochastic process theory. Then, the nonmonotonic relationship between the cut-off frequency and the signal-to-noise ratio (SNR) for certain experimental parameters are derived quantitatively and qualitatively: the SNR first increases and then decreases when the cut-off frequency increases, while the unique extreme point is located at 6.3 GHz. In addition, imaging results are obtained accordingly. The model and the results can provide a reference for system design and parameter selection.

Original language	English
Article number	124508
Journal	Optics Communications
Volume	460
DOIs	https://doi.org/10.1016/j.optcom.2019.124508
Publication status	Published - 1 Apr 2020
Externally published	Yes

Keywords

Noise model
Optical signal processing
Ultrafast imaging

Access to Document

10.1016/j.optcom.2019.124508

Cite this

@article{e62a7626d5fa45b3bca2682428a36f4b,

title = "A novel noise model based on balanced detection for an ultrafast line-scan imaging system",

abstract = "A novel noise model is proposed for a balanced-detection ultrafast imaging system to comprehensively analyze the noise in the system. The whole noise model is obtained by solving for erbium-doped fiber amplifier (EDFA) noise, intersymbol interference (ISI) noise and low-pass filter (LPF) noise successively with stochastic process theory. Then, the nonmonotonic relationship between the cut-off frequency and the signal-to-noise ratio (SNR) for certain experimental parameters are derived quantitatively and qualitatively: the SNR first increases and then decreases when the cut-off frequency increases, while the unique extreme point is located at 6.3 GHz. In addition, imaging results are obtained accordingly. The model and the results can provide a reference for system design and parameter selection.",

keywords = "Noise model, Optical signal processing, Ultrafast imaging",

author = "Kaimin Wang and Shanshan Jiang and Bo Dai and Yu Huang and Wei Li and Meiyong Xu and Xiangjun Xin and Dawei Zhang",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier B.V.",

year = "2020",

month = apr,

day = "1",

doi = "10.1016/j.optcom.2019.124508",

language = "English",

volume = "460",

journal = "Optics Communications",

issn = "0030-4018",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - A novel noise model based on balanced detection for an ultrafast line-scan imaging system

AU - Wang, Kaimin

AU - Jiang, Shanshan

AU - Dai, Bo

AU - Huang, Yu

AU - Li, Wei

AU - Xu, Meiyong

AU - Xin, Xiangjun

AU - Zhang, Dawei

PY - 2020/4/1

Y1 - 2020/4/1

N2 - A novel noise model is proposed for a balanced-detection ultrafast imaging system to comprehensively analyze the noise in the system. The whole noise model is obtained by solving for erbium-doped fiber amplifier (EDFA) noise, intersymbol interference (ISI) noise and low-pass filter (LPF) noise successively with stochastic process theory. Then, the nonmonotonic relationship between the cut-off frequency and the signal-to-noise ratio (SNR) for certain experimental parameters are derived quantitatively and qualitatively: the SNR first increases and then decreases when the cut-off frequency increases, while the unique extreme point is located at 6.3 GHz. In addition, imaging results are obtained accordingly. The model and the results can provide a reference for system design and parameter selection.

AB - A novel noise model is proposed for a balanced-detection ultrafast imaging system to comprehensively analyze the noise in the system. The whole noise model is obtained by solving for erbium-doped fiber amplifier (EDFA) noise, intersymbol interference (ISI) noise and low-pass filter (LPF) noise successively with stochastic process theory. Then, the nonmonotonic relationship between the cut-off frequency and the signal-to-noise ratio (SNR) for certain experimental parameters are derived quantitatively and qualitatively: the SNR first increases and then decreases when the cut-off frequency increases, while the unique extreme point is located at 6.3 GHz. In addition, imaging results are obtained accordingly. The model and the results can provide a reference for system design and parameter selection.

KW - Noise model

KW - Optical signal processing

KW - Ultrafast imaging

UR - http://www.scopus.com/inward/record.url?scp=85077310008&partnerID=8YFLogxK

U2 - 10.1016/j.optcom.2019.124508

DO - 10.1016/j.optcom.2019.124508

M3 - Article

AN - SCOPUS:85077310008

SN - 0030-4018

VL - 460

JO - Optics Communications

JF - Optics Communications

M1 - 124508

ER -

A novel noise model based on balanced detection for an ultrafast line-scan imaging system

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this