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Title: High-Density Signal Interface Electromagnetic Radiation Prediction for Electromagnetic Compatibility Evaluation.

Abstract

Radiated power calculation approaches for practical scenarios of incomplete high- density interface characterization information and incomplete incident power information are presented. The suggested approaches build upon a method that characterizes power losses through the definition of power loss constant matrices. Potential radiated power estimates include using total power loss information, partial radiated power loss information, worst case analysis, and statistical bounding analysis. A method is also proposed to calculate radiated power when incident power information is not fully known for non-periodic signals at the interface. Incident data signals are modeled from a two-state Markov chain where bit state probabilities are derived. The total spectrum for windowed signals is postulated as the superposition of spectra from individual pulses in a data sequence. Statistical bounding methods are proposed as a basis for the radiated power calculation due to the statistical calculation complexity to find a radiated power probability density function.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1408801
Report Number(s):
SAND2017-12071
658571
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Halligan, Matthew. High-Density Signal Interface Electromagnetic Radiation Prediction for Electromagnetic Compatibility Evaluation.. United States: N. p., 2017. Web. doi:10.2172/1408801.
Halligan, Matthew. High-Density Signal Interface Electromagnetic Radiation Prediction for Electromagnetic Compatibility Evaluation.. United States. doi:10.2172/1408801.
Halligan, Matthew. Wed . "High-Density Signal Interface Electromagnetic Radiation Prediction for Electromagnetic Compatibility Evaluation.". United States. doi:10.2172/1408801. https://www.osti.gov/servlets/purl/1408801.
@article{osti_1408801,
title = {High-Density Signal Interface Electromagnetic Radiation Prediction for Electromagnetic Compatibility Evaluation.},
author = {Halligan, Matthew},
abstractNote = {Radiated power calculation approaches for practical scenarios of incomplete high- density interface characterization information and incomplete incident power information are presented. The suggested approaches build upon a method that characterizes power losses through the definition of power loss constant matrices. Potential radiated power estimates include using total power loss information, partial radiated power loss information, worst case analysis, and statistical bounding analysis. A method is also proposed to calculate radiated power when incident power information is not fully known for non-periodic signals at the interface. Incident data signals are modeled from a two-state Markov chain where bit state probabilities are derived. The total spectrum for windowed signals is postulated as the superposition of spectra from individual pulses in a data sequence. Statistical bounding methods are proposed as a basis for the radiated power calculation due to the statistical calculation complexity to find a radiated power probability density function.},
doi = {10.2172/1408801},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {11}
}

Technical Report:

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