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^*

^*此作品的通讯作者

科研成果: 期刊稿件 › 文章 › 同行评审

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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.

源语言	英语
文章编号	124508
期刊	Optics Communications
卷	460
DOI	https://doi.org/10.1016/j.optcom.2019.124508
出版状态	已出版 - 1 4月 2020
已对外发布	是

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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",

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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

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DO - 10.1016/j.optcom.2019.124508

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JO - Optics Communications

JF - Optics Communications

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

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