Efficient Stochastic Analysis of Transmission Signal Integrity for Remote Sensing Applications

被引：0

作者：

Fei, Zhouxiang ^{[1
]}

Huang, Yi ^{[1
]}

Zhou, Jiafeng ^{[1
]}

Song, Chaoyun ^{[1
]}

Jia, Tianyuan ^{[1
]}

机构：

[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England

来源：

2018 JOINT IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY AND 2018 IEEE ASIA-PACIFIC SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC/APEMC) | 2018年

基金：

“创新英国”项目;

关键词：

cable crosstalk; electromagnetic compatibility; remote sensing; statistical analysis; stochastic reduced order models; REDUCED-ORDER MODELS; TWISTED PAIRS; PREDICTION; WIRES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1132 / 1136

页数：5

共 13 条

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