Efficient Stochastic Analysis of Transmission Signal Integrity for Remote Sensing Applications

Fei, Zhouxiang, Huang, Yi ORCID: 0000-0001-7774-1024, Zhou, Jiafeng ORCID: 0000-0001-5829-3932, Song, Chaoyun ORCID: 0000-0001-8735-3156 and Jia, Tianyuan (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 (EMC/APEMC), 2018-5-14 - 2018-5-18.

Text Efficient Stochastic Analysis of Transmission Signal Integrity for Remote Sensing Applications.pdf - Author Accepted Manuscript Download (495kB) | Preview

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.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	cable crosstalk, electromagnetic compatibility, remote sensing, statistical analysis, stochastic reduced order models
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	24 May 2022 08:31
Last Modified:	26 Apr 2024 04:16
DOI:	10.1109/isemc.2018.8393964
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3155134