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

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

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
Pages	1132-1136
Number of pages	5
DOIs	https://doi.org/10.1109/ISEMC.2018.8393964
Publication status	Published - 25 Jun 2018
Event	2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC) - Duration: 14 May 2018 → …

Conference

Conference	2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC)
Period	14/05/18 → …

Keywords

cable crosstalk
electromagnetic compatibility
remote sensing
statistical analysis
stochastic reduced order models
geophysical image processing
geophysical signal processing
transmission signal integrity

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10.1109/ISEMC.2018.8393964

Cite this

Fei, Z., Huang, Y., Zhou, J., Song, C., & Jia, T. (2018). Efficient stochastic analysis of transmission signal integrity for remote sensing applications. 1132-1136. Paper presented at 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC). https://doi.org/10.1109/ISEMC.2018.8393964

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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, geophysical image processing, geophysical signal processing, transmission signal integrity",

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

year = "2018",

month = jun,

day = "25",

doi = "10.1109/ISEMC.2018.8393964",

language = "English",

pages = "1132--1136",

note = "2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC) ; Conference date: 14-05-2018",

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Fei, Z, Huang, Y, Zhou, J, Song, C & Jia, T 2018, 'Efficient stochastic analysis of transmission signal integrity for remote sensing applications', Paper presented at 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC), 14/05/18 pp. 1132-1136. 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. 1132-1136 Paper presented at 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC).

Research output: Contribution to conference › Paper › peer-review

TY - CONF

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

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

KW - geophysical image processing

KW - geophysical signal processing

KW - transmission signal integrity

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T2 - 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC)

Y2 - 14 May 2018

ER -

Efficient stochastic analysis of transmission signal integrity for remote sensing applications

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