Fei, Zhouxiang and Huang, Yi and Zhou, Jiafeng and Song, Chaoyun 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), 14-18 May, 2018, Suntec City, Singapore.
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11. Efficient stochastic analysis of transmission signal integrity for remote sensing applications.pdf - Published Version Restricted to Repository staff only Download (542kB) | Request a copy |
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 (Paper) |
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Faculty / Department: | Faculty of Human and Digital Sciences > School of Computer Science and the Environment |
Depositing User: | Zhouxiang Fei |
Date Deposited: | 21 Feb 2025 14:45 |
Last Modified: | 21 Feb 2025 14:45 |
URI: | https://hira.hope.ac.uk/id/eprint/4605 |
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