Specific Absorption Rate (SAR) post-processing implementation : numerical approach
The accepted dosimetric measure of electromagnetic (EM) exposure is the specific absorption rate (SAR), which is defined as the power absorbed per unit mass of tissue. International standards for compliance testing of hand-held mobile communication devices define various cubical averaging schemes to...
Saved in:
Main Author: | |
---|---|
Format: | Article |
Published: |
IEEE Antennas and Propagation Society
2010
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/27069/ http://dx.doi.org/10.1109/MAP.2010.5687529 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.27069 |
---|---|
record_format |
eprints |
spelling |
my.utm.270692020-10-30T05:13:04Z http://eprints.utm.my/id/eprint/27069/ Specific Absorption Rate (SAR) post-processing implementation : numerical approach Akram, Gasmelseed TK Electrical engineering. Electronics Nuclear engineering The accepted dosimetric measure of electromagnetic (EM) exposure is the specific absorption rate (SAR), which is defined as the power absorbed per unit mass of tissue. International standards for compliance testing of hand-held mobile communication devices define various cubical averaging schemes to obtain the spatial peak averaged specific absorption rate. In this paper, a numerical approach to illustrate the validation and uncertainty contributions of a SAR post-processing algorithm is described. Simplified interpolation and extrapolation techniques to calculate the 1g SAR for a 2.5 mm mesh grid are evaluated. Furthermore, using linear, nearest, and spline interpolation in MATLAB, the effects of the extrapolation order on the assessment of the resultant error are examined. IEEE Antennas and Propagation Society 2010-10 Article PeerReviewed Akram, Gasmelseed (2010) Specific Absorption Rate (SAR) post-processing implementation : numerical approach. IEEE Antennas and Propagation Magazine, 52 (5). pp. 180-184. ISSN 1045-9243 http://dx.doi.org/10.1109/MAP.2010.5687529 DOI:10.1109/MAP.2010.5687529 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Akram, Gasmelseed Specific Absorption Rate (SAR) post-processing implementation : numerical approach |
description |
The accepted dosimetric measure of electromagnetic (EM) exposure is the specific absorption rate (SAR), which is defined as the power absorbed per unit mass of tissue. International standards for compliance testing of hand-held mobile communication devices define various cubical averaging schemes to obtain the spatial peak averaged specific absorption rate. In this paper, a numerical approach to illustrate the validation and uncertainty contributions of a SAR post-processing algorithm is described. Simplified interpolation and extrapolation techniques to calculate the 1g SAR for a 2.5 mm mesh grid are evaluated. Furthermore, using linear, nearest, and spline interpolation in MATLAB, the effects of the extrapolation order on the assessment of the resultant error are examined. |
format |
Article |
author |
Akram, Gasmelseed |
author_facet |
Akram, Gasmelseed |
author_sort |
Akram, Gasmelseed |
title |
Specific Absorption Rate (SAR) post-processing implementation : numerical approach |
title_short |
Specific Absorption Rate (SAR) post-processing implementation : numerical approach |
title_full |
Specific Absorption Rate (SAR) post-processing implementation : numerical approach |
title_fullStr |
Specific Absorption Rate (SAR) post-processing implementation : numerical approach |
title_full_unstemmed |
Specific Absorption Rate (SAR) post-processing implementation : numerical approach |
title_sort |
specific absorption rate (sar) post-processing implementation : numerical approach |
publisher |
IEEE Antennas and Propagation Society |
publishDate |
2010 |
url |
http://eprints.utm.my/id/eprint/27069/ http://dx.doi.org/10.1109/MAP.2010.5687529 |
_version_ |
1683230680835686400 |
score |
13.160551 |