Efficient stochastic analysis of transmission signal integrity for remote sensing applications

Zhouxiang Fei; Yi Huang; Jiafeng Zhou; Chaoyun Song; Tianyuan Jia

doi:10.1109/ISEMC.2018.8393964

Efficient stochastic analysis of transmission signal integrity for remote sensing applications

Zhouxiang Fei, Yi Huang, Jiafeng Zhou, Chaoyun Song, Tianyuan Jia

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

Abstract

This paper presents a statistical evaluation of the transmission signal integrity at the intra-system level of remote sensing devices. The signal integrity is evaluated using the crosstalk induced to the signal. Due to the vague knowledge of the characteristics of the signal cable, the crosstalk becomes a random quantity and needs to be described using statistics. In this paper, the stochastic reduced order model (SROM) method is applied to obtain the statistics of crosstalk in the presence of the random cable configuration. By comparing to the Monte-Carlo method, it is found that the SROM method is much more efficient and accurate. Due to the generality of the SROM method, it may be inspiring to solve other stochastic electromagnetic compatibility problems of remote sensing devices.

Original language	English
Title of host publication	2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility
Publisher	IEEE
Pages	1132-1136
Number of pages	5
ISBN (Electronic)	9781509059973
DOIs	https://doi.org/10.1109/ISEMC.2018.8393964
Publication status	Published - 25 Jun 2018
Event	60th IEEE International Symposium on Electromagnetic Compatibility and 9th IEEE Asia-Pacific Symposium on Electromagnetic Compatibility 2018 - Suntec City, Singapore Duration: 14 May 2018 → 18 May 2018

Conference

Conference	60th IEEE International Symposium on Electromagnetic Compatibility and 9th IEEE Asia-Pacific Symposium on Electromagnetic Compatibility 2018
Abbreviated title	EMC/APEMC 2018
Country/Territory	Singapore
City	Suntec City
Period	14/05/18 → 18/05/18

Keywords

Cable crosstalk
Electromagnetic compatibility
Remote sensing
Statistical analysis
Stochastic reduced order models

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Radiation

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10.1109/ISEMC.2018.8393964

Cite this

@inproceedings{9c91633f09d84dc98f990f585feb35d9,

title = "Efficient stochastic analysis of transmission signal integrity for remote sensing applications",

abstract = "This paper presents a statistical evaluation of the transmission signal integrity at the intra-system level of remote sensing devices. The signal integrity is evaluated using the crosstalk induced to the signal. Due to the vague knowledge of the characteristics of the signal cable, the crosstalk becomes a random quantity and needs to be described using statistics. In this paper, the stochastic reduced order model (SROM) method is applied to obtain the statistics of crosstalk in the presence of the random cable configuration. By comparing to the Monte-Carlo method, it is found that the SROM method is much more efficient and accurate. Due to the generality of the SROM method, it may be inspiring to solve other stochastic electromagnetic compatibility problems of remote sensing devices.",

keywords = "Cable crosstalk, Electromagnetic compatibility, Remote sensing, Statistical analysis, Stochastic reduced order models",

author = "Zhouxiang Fei and Yi Huang and Jiafeng Zhou and Chaoyun Song and Tianyuan Jia",

note = "Funding Information: This work outlined above was carried out as part of the ICE-NITE project (see http://www.liv.ac.uk/icenite/), a collaborative research project supported by Innovate UK under contract reference 101665. Publisher Copyright: {\textcopyright} 2018 IEEE.; 60th IEEE International Symposium on Electromagnetic Compatibility and 9th IEEE Asia-Pacific Symposium on Electromagnetic Compatibility 2018, EMC/APEMC 2018 ; Conference date: 14-05-2018 Through 18-05-2018",

year = "2018",

month = jun,

day = "25",

doi = "10.1109/ISEMC.2018.8393964",

language = "English",

pages = "1132--1136",

booktitle = "2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility",

publisher = "IEEE",

address = "United States",

}

Fei, Z, Huang, Y, Zhou, J, Song, C & Jia, T 2018, Efficient stochastic analysis of transmission signal integrity for remote sensing applications. in 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility. IEEE, pp. 1132-1136, 60th IEEE International Symposium on Electromagnetic Compatibility and 9th IEEE Asia-Pacific Symposium on Electromagnetic Compatibility 2018, Suntec City, Singapore, 14/05/18. https://doi.org/10.1109/ISEMC.2018.8393964

Efficient stochastic analysis of transmission signal integrity for remote sensing applications. / Fei, Zhouxiang; Huang, Yi; Zhou, Jiafeng et al.
2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility. IEEE, 2018. p. 1132-1136.

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

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T1 - Efficient stochastic analysis of transmission signal integrity for remote sensing applications

AU - Fei, Zhouxiang

AU - Huang, Yi

AU - Zhou, Jiafeng

AU - Song, Chaoyun

AU - Jia, Tianyuan

N1 - Funding Information: This work outlined above was carried out as part of the ICE-NITE project (see http://www.liv.ac.uk/icenite/), a collaborative research project supported by Innovate UK under contract reference 101665. Publisher Copyright: © 2018 IEEE.

PY - 2018/6/25

Y1 - 2018/6/25

N2 - This paper presents a statistical evaluation of the transmission signal integrity at the intra-system level of remote sensing devices. The signal integrity is evaluated using the crosstalk induced to the signal. Due to the vague knowledge of the characteristics of the signal cable, the crosstalk becomes a random quantity and needs to be described using statistics. In this paper, the stochastic reduced order model (SROM) method is applied to obtain the statistics of crosstalk in the presence of the random cable configuration. By comparing to the Monte-Carlo method, it is found that the SROM method is much more efficient and accurate. Due to the generality of the SROM method, it may be inspiring to solve other stochastic electromagnetic compatibility problems of remote sensing devices.

AB - This paper presents a statistical evaluation of the transmission signal integrity at the intra-system level of remote sensing devices. The signal integrity is evaluated using the crosstalk induced to the signal. Due to the vague knowledge of the characteristics of the signal cable, the crosstalk becomes a random quantity and needs to be described using statistics. In this paper, the stochastic reduced order model (SROM) method is applied to obtain the statistics of crosstalk in the presence of the random cable configuration. By comparing to the Monte-Carlo method, it is found that the SROM method is much more efficient and accurate. Due to the generality of the SROM method, it may be inspiring to solve other stochastic electromagnetic compatibility problems of remote sensing devices.

KW - Cable crosstalk

KW - Electromagnetic compatibility

KW - Remote sensing

KW - Statistical analysis

KW - Stochastic reduced order models

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EP - 1136

BT - 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility

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ER -

Efficient stochastic analysis of transmission signal integrity for remote sensing applications

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Keywords

ASJC Scopus subject areas

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