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BS IEC/IEEE 62704-3:2017:2020 Edition

BS IEC/IEEE 62704-3:2017:2020 Edition

$167.15

Determining the peak spatial-average specific absorption rate (SAR) in the human body from wireless communications devices, 30 MHz to 6 GHz – Specific requirements for using the finite difference time domain (FDTD) method for SAR calculations of mobile phones

Published By Publication Date Number of Pages
BSI 2020 38
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IEC/IEEE 62704-3:2017 defines the concepts, techniques, benchmark phone models, validation procedures, uncertainties and limitations of the finite difference time domain (FDTD) technique when used for determining the peak spatial-average specific absorption rate (SAR) in standardized head and body phantoms exposed to the electromagnetic fields generated by wireless communication devices, in particular pre-compliance assessment of mobile phones, in the frequency range from 30 MHz to 6 GHz. It recommends and provides guidance on the numerical modelling of mobile phones and benchmark results to verify the general approach for the numerical simulations of such devices. It defines acceptable modelling requirements, guidance on meshing and test positions of the mobile phone and the phantom models. This document does not recommend specific SAR limits since these are found in other documents, e.g. IEEE C95.1-2005 and ICNIRP Key words: Mobile Phone, Spatial-Average Specific Absorption Rate, Finite-Difference Time-Domain, Human Body

PDF Catalog

PDF Pages PDF Title
2 undefined
4 English
CONTENTS
7 FOREWORD
9 INTRODUCTION
10 1 Scope
2 Normative references
11 3 Terms and definitions
4 Abbreviated terms
12 5 Simulation procedure
5.1 General
5.2 General considerations
5.3 General mesh settings
5.4 Simulation parameters
5.5 DUT model
5.5.1 General
14 5.5.2 Antenna
5.5.3 RF source
Figures
Figure 1 – An example of a multi-band antenna consisting of two metallic elements for the GSM and UMTS frequency bands
15 5.5.4 PCB
5.5.5 Screen
Figure 2 – An example of a source gap position that is inserted in replacement of a real-life feeding spring pin
Figure 3 – An example of a microstrip feed line
16 5.5.6 Battery and other larger metallic components
5.5.7 Casing
5.6 SAR calculation using phantom models
5.6.1 General
17 5.6.2 Head phantom model
Figure 4 – Orientation of the mobile phone model prior to positioning against the head or the body phantom
18 Figure 5 – Orientation of the SAM phantom prior to positioning against the DUT shown in Figure 4
Figure 6 – Suggested steps for the cheek position of the DUT against the SAM phantom
19 Figure 7 – Tilt position of the DUT against the SAM phantom
Figure 8 – Example of the full model space that includes the DUT and the SAM phantom for the numerical simulations for the right cheek position
20 5.6.3 Body phantom model
5.6.4 Phantom mesh generation
5.7 Recording of results
Figure 9 – Example of the model space for the DUT/body phantom calculation setup
21 5.8 Peak spatial-average SAR calculation
6 Benchmark models
6.1 General
6.2 Generic metallic box phone for 835 MHz and 1 900 MHz
Figure 10 – The SAM head phantom and the generic metallic box phone
22 Figure 11 – Physical dimensions of the generic metallic box phone
Tables
Table 1 – Dielectric parameters of the materials of the generic phone
23 6.3 GSM/UMTS mobile phone
Figure 12 – Generic GSM/UMTS mobile phone
Table 2 – Peak spatial-average SAR for 1 g and 10 g of the benchmark
24 6.4 Generic multi-band patch antenna mobile phone
Table 3 – Dielectric properties of the materials ofthe generic GSM/UMTS mobile phone
Table 4 – Peak 1 g and 10 g SAR results of the GSM/UMTS mobile phone
25 Figure 13 – Generic mobile phone with integrated multiband patch antenna
Table 5 – Limits of the output parameters for the generic multi-band mobile phone
26 6.5 Neo Free Runner mobile phone
Figure 14 – CAD model of the Neo Free Runner mobile phone
Table 6 – Peak 1 g and 10 g SAR results of the GSM/UMTS mobile phone
27 7 Computational uncertainty
7.1 General considerations
Table 7 – Dielectric properties of the materials of the Neo Free Runner mobile phone
Table 8 – Peak 1 g and 10 g SAR results of the Neo Free Runner mobile phone
28 7.2 Uncertainty of the test setup with respect to simulation parameters
7.3 Uncertainty of the developed numerical model of the DUT
7.4 Validation of the developed numerical model of the DUT
7.5 Uncertainty budget
29 8 Reporting simulation results
8.1 General considerations
8.2 DUT
8.3 Simulated configurations
Table 9 – Overall uncertainty budget
30 8.4 Numerical simulation tool
8.5 Results of the benchmark models
8.6 Uncertainties
8.7 SAR results
31 Annex A (informative) Additional results for the generic mobile phone with integrated multiband antenna
Figure A.1 – Real part of the input impedance of the antenna obtained with three different commercially available software products
32 Figure A.2 – Imaginary part of the input impedance of the antenna obtained with three different commercially available software products
33 Annex B (informative) Additional results for the Neo Free Runner mobile phone
Figure B.1 – Basic version of the Neo Free Runner CAD model
Figure B.2 – Intermediate version of the Neo Free Runner CAD model
34 Figure B.3 – Full version of the Neo Free Runner CAD model
Figure B.4 – Interlaboratory comparison results of the free space reflection coefficient for the basic CAD model
35 Figure B.5 – Interlaboratory comparison results of the free space reflection coefficient for the intermediate CAD model
Figure B.6 – Interlaboratory comparison results of the free space reflection coefficient for the full CAD model
36 Table B.1 – Frequency limits of the −6 dB reflection coefficient for the three different versions of the Neo Free Runner mobile phone
37 Bibliography

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