A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System

Rirong Su; Qinghua Tian; Xiangjun Xin; Xiaoli Yin; Fu Wang; Zhipei Li; Yongjun Wang

doi:10.1109/ICECE56287.2022.10048658

A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System

Rirong Su, Qinghua Tian^*, Xiangjun Xin, Xiaoli Yin, Fu Wang, Zhipei Li, Yongjun Wang

^*Corresponding author for this work

School of Information and Electronics

Beijing University of Posts and Telecommunications

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the paper, the linear optical sampling system is studied, and a golden section software synchronization (GSSS) algorithm is proposed to monitor the performance of the signal under test (SUT) and obtain a clear eye diagram. Experiments show that this method produces better results in recovering temporal information. Compared with the chirp-z-transform (CZT) algorithm, the GSSS algorithm reduces the complexity by half, which has a smaller delay and improves the efficiency of real-time monitoring the performance of SUT.

Original language	English
Title of host publication	2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	248-252
Number of pages	5
ISBN (Electronic)	9781665487894
DOIs	https://doi.org/10.1109/ICECE56287.2022.10048658
Publication status	Published - 2022
Event	5th IEEE International Conference on Electronics and Communication Engineering, ICECE 2022 - Xi�an, China Duration: 16 Dec 2022 → 18 Dec 2022

Publication series

Name	2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022

Conference

Conference	5th IEEE International Conference on Electronics and Communication Engineering, ICECE 2022
Country/Territory	China
City	Xi�an
Period	16/12/22 → 18/12/22

Keywords

Golden Section
linear optical sampling
software synchronization

Access to Document

10.1109/ICECE56287.2022.10048658

Cite this

Su, R., Tian, Q., Xin, X., Yin, X., Wang, F., Li, Z., & Wang, Y. (2022). A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System. In 2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022 (pp. 248-252). (2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECE56287.2022.10048658

Su, Rirong ; Tian, Qinghua ; Xin, Xiangjun et al. / A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System. 2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 248-252 (2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022).

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title = "A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System",

abstract = "In the paper, the linear optical sampling system is studied, and a golden section software synchronization (GSSS) algorithm is proposed to monitor the performance of the signal under test (SUT) and obtain a clear eye diagram. Experiments show that this method produces better results in recovering temporal information. Compared with the chirp-z-transform (CZT) algorithm, the GSSS algorithm reduces the complexity by half, which has a smaller delay and improves the efficiency of real-time monitoring the performance of SUT.",

keywords = "Golden Section, linear optical sampling, software synchronization",

author = "Rirong Su and Qinghua Tian and Xiangjun Xin and Xiaoli Yin and Fu Wang and Zhipei Li and Yongjun Wang",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th IEEE International Conference on Electronics and Communication Engineering, ICECE 2022 ; Conference date: 16-12-2022 Through 18-12-2022",

year = "2022",

doi = "10.1109/ICECE56287.2022.10048658",

language = "English",

series = "2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "248--252",

booktitle = "2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022",

address = "United States",

}

Su, R, Tian, Q, Xin, X, Yin, X, Wang, F, Li, Z & Wang, Y 2022, A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System. in 2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022. 2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 248-252, 5th IEEE International Conference on Electronics and Communication Engineering, ICECE 2022, Xi�an, China, 16/12/22. https://doi.org/10.1109/ICECE56287.2022.10048658

A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System. / Su, Rirong; Tian, Qinghua; Xin, Xiangjun et al.
2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 248-252 (2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System

AU - Su, Rirong

AU - Tian, Qinghua

AU - Xin, Xiangjun

AU - Yin, Xiaoli

AU - Wang, Fu

AU - Li, Zhipei

AU - Wang, Yongjun

PY - 2022

Y1 - 2022

N2 - In the paper, the linear optical sampling system is studied, and a golden section software synchronization (GSSS) algorithm is proposed to monitor the performance of the signal under test (SUT) and obtain a clear eye diagram. Experiments show that this method produces better results in recovering temporal information. Compared with the chirp-z-transform (CZT) algorithm, the GSSS algorithm reduces the complexity by half, which has a smaller delay and improves the efficiency of real-time monitoring the performance of SUT.

AB - In the paper, the linear optical sampling system is studied, and a golden section software synchronization (GSSS) algorithm is proposed to monitor the performance of the signal under test (SUT) and obtain a clear eye diagram. Experiments show that this method produces better results in recovering temporal information. Compared with the chirp-z-transform (CZT) algorithm, the GSSS algorithm reduces the complexity by half, which has a smaller delay and improves the efficiency of real-time monitoring the performance of SUT.

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KW - linear optical sampling

KW - software synchronization

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DO - 10.1109/ICECE56287.2022.10048658

M3 - Conference contribution

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T3 - 2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022

SP - 248

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BT - 2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 16 December 2022 through 18 December 2022

ER -

Su R, Tian Q, Xin X, Yin X, Wang F, Li Z et al. A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System. In 2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 248-252. (2022 IEEE 5th International Conference on Electronics and Communication Engineering, ICECE 2022). doi: 10.1109/ICECE56287.2022.10048658

A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System

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