Efficient stochastic analysis of transmission signal integrity for remote sensing applications

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

Research output: Contribution to conferencePaperpeer-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 languageEnglish
Pages1132-1136
Number of pages5
DOIs
Publication statusPublished - 25 Jun 2018
Event2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC) -
Duration: 14 May 2018 → …

Conference

Conference2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC)
Period14/05/18 → …

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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