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IEEE IEC 62704 1 2017

IEEE IEC 62704 1 2017

$52.54

IEC/IEEE International Standard for Determining the Peak Spatial Average Specific Absorption Rate (SAR) in the Human Body from Wireless Communications Devices, 30 MHz – 6 GHz. Part 1: General Requirements for using the Finite Difference Time Domain (FDTD) Method for SAR Calculations

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IEEE 2017 86
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PDF Catalog

PDF Pages PDF Title
4 CONTENTS
7 FOREWORD
9 INTRODUCTION
10 1 Scope
2 Normative references
11 3 Terms and definitions
17 4 Abbreviated terms
18 5 Finite-difference time-domain method – basic definition
19 6 SAR calculation and averaging
6.1 Calculation of SAR in FDTD voxels
Figures
Figure 1 – Field components on voxel edges
20 6.2 SAR averaging
6.2.1 General
22 6.2.2 Calculation of the peak spatial-average SAR
Figure 2 – Flow chart of the SAR averaging algorithm
24 Figure 3 – Illustration of valid and used voxels in a valid averaging cube centred on the highlighted voxel and an invalid averaging volume for which a new cube has to be expanded about the surface voxel because it contains more than 10 % of background material
Tables
Table 1 – Voxel states during SAR averaging
25 Figure 4 – Valid, used and partially used voxels
26 6.2.3 Calculation of the whole body average SAR
6.2.4 Reporting peak spatial-average SAR and whole body average SAR
6.2.5 Referencing peak spatial-average SAR and whole body average SAR
Figure 5 – “Unused” location
27 6.3 Power scaling
28 7 SAR simulation uncertainty
7.1 Considerations for the uncertainty evaluation
29 7.2 Uncertainty of the test setup with respect to simulation parameters
7.2.1 General
7.2.2 Positioning
Table 2 – Factors contributing to the uncertainty of experimentaland numerical SAR evaluation
30 7.2.3 Mesh resolution
31 7.2.4 Absorbing boundary conditions
7.2.5 Power budget
7.2.6 Convergence
32 7.2.7 Dielectrics of the phantom or body model
Table 3 – Budget of the uncertainty contributions of the numerical algorithm and of the rendering of the test- or simulation-setup
33 7.3 Uncertainty and validation of the developed numerical model of the DUT
7.3.1 General
7.3.2 Uncertainty of the DUT model (d ≥ λ/2 or d ≥ 200 mm)
35 7.3.3 Uncertainty of the DUT model (d ≥ λ/2 and ≥ 200 mm)
36 7.3.4 Model validation
Table 4 – Budget of the uncertainty of the developed model of the DUT
37 7.4 Uncertainty budget
38 8 Code verification
8.1 General
Table 5 – Numerical uncertainty budget
39 8.2 Code accuracy
8.2.1 Free space characteristics
Figure 6 – Aligned parallel-plate waveguide and locations of theEy-field components to be recorded for TE-polarization
44 8.2.2 Planar dielectric boundaries
Table 6 – Results of the evaluation of the numerical dispersion characteristics
46 Table 7 – Results of the evaluation of the numerical reflection coefficient
47 8.2.3 Absorbing boundary conditions
48 Figure 7 – Permissible power reflection coefficient (grey range) for the aligned absorbing boundary conditions
49 Figure 8 – Tilted parallel-plate waveguide terminated with absorbing boundary conditions and locations of the Ey-field components to be recorded for TE-polarization
50 8.2.4 SAR averaging
Figure 9 – Permissible power reflection coefficient (grey range) for the tilted absorbing boundary conditions
51 Figure 10 – Sketch of the testing geometry of the averaging algorithm
52 8.3 Canonical benchmarks
8.3.1 Generic dipole
Figure 11 – 3D view of the SAR Star
53 8.3.2 Microstrip terminated with ABC
Table 8 – Results of the dipole evaluation
54 8.3.3 SAR calculation SAM phantom / generic phone
Figure 12 – Geometry of the microstrip line
Table 9 – Results of the microstrip evaluation
Table 10 – 1 g and 10 g psSAR for the SAM phantom exposed to the generic phone for 1 W accepted antenna power as specified in [22]
55 8.3.4 Setup for system performance check
Figure 13 – Geometry of the setup for the system performance check according to [31]
56 Table 11 – Dielectric parameters of the setup (Table 1 of [31])
Table 12 – Mechanical parameters of the setup (Tables 1 and 2 of [31])
Table 13 – psSAR normalized to 1 W forward power and feedpoint impedance (Tables 3 and 4 of [31])
57 Annex A (normative)Fundamentals of the FDTD method
59 Figure A.1 – Voxel showing the arrangement of the E- and H-field vector components on a staggered mesh
60 Figure A.2 – Voxels with different dielectric propertiessurrounding a mesh edge with an Ey-component
61 Annex B (normative)SAR Star
B.1 CAD files of the SAR Star
B.2 Mesh lines for the SAR Star
B.2.1 General
B.2.2 Mesh lines for the homogeneous SAR Star
62 B.2.3 Mesh lines for the inhomogeneous SAR Star
B.3 Evaluation of the SAR Star benchmark
B.3.1 General
B.3.2 File format of the benchmark output
63 B.3.3 Evaluation script
67 Annex C (informative)Practical considerations for the application of FDTD
C.1 Overview
68 C.2 Practical considerations
C.2.1 Computational requirements
69 C.2.2 Voxel size
C.2.3 Stability
C.2.4 Absorbing boundaries
70 C.2.5 Far-zone transformation
C.3 Modelling requirements for sources and loads
71 Figure C.1 – FDTD voltage source with source resistance
Figure C.2 – Four magnetic field components surrounding the electric field component where the source is located
72 C.4 Calculation of S-parameters
C.5 Calculation of power and efficiency
73 C.6 Non-uniform meshes
75 Annex D (informative)Background information ontissue modelling and anatomical models
D.1 Dielectric tissue properties
D.2 Anatomical models of the human body
D.3 Recommended numerical models of experimental phantoms
D.3.1 Experimental head phantom
76 D.3.2 Experimental body phantom
77 Bibliography

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IEEE IEC 62704 1 2017
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