BS EN/IEEE 62704-2:2017
$198.66
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 finite difference time domain (FDTD) modelling of exposure from vehicle mounted antennas
| Published By | Publication Date | Number of Pages |
| BSI | 2017 | 56 |
IEC/IEEE 62704-2:2017 establishes the concepts, techniques, validation procedures, uncertainties and limitations of the finite difference time domain technique (FDTD) when used for determining the peak spatial-average and whole-body average specific absorption rate (SAR) in a standardized human anatomical model exposed to the electromagnetic field emitted by vehicle mounted antennas in the frequency range from 30 MHz to 1 GHz, which covers typical high power mobile radio products and applications. This document specifies and provides the test vehicle, human body models and the general benchmark data for those models. It defines antenna locations, operating configurations, exposure conditions, and positions that are typical of persons exposed to the fields generated by vehicle mounted antennas. The extended frequency range up to 6 GHz will be considered in future revisions of this document. This document does not recommend specific peak spatial-average and whole-body average SAR limits since these are found in other documents, e.g. IEEE C95.1-2005, ICNIRP (1998). Key words: Electromagnetic Field, Finite-Difference Time Domain (FDTD), Spatial-Average Specific Absorption Rate (SAR), vehicle mounted antennas
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 2 | National foreword |
| 4 | English CONTENTS |
| 7 | FOREWORD |
| 9 | INTRODUCTION |
| 10 | 1 Scope 2 Normative references 3 Terms and definitions |
| 11 | 4 Abbreviated terms |
| 12 | 5 Exposure configuration modelling 5.1 General considerations 5.2 Vehicle modelling |
| 13 | 5.3 Communications device modelling |
| 14 | Figures Figure 1 – Antenna feed model |
| 15 | Figure 2 – Voltage and current at the matched antenna feed-point |
| 16 | 5.4 Exposed subject modelling Tables Table 1 – Pavement model parameters |
| 17 | 5.5 Exposure conditions Figure 3 – Bystander model (left) and passenger/driver model (right)for the SAR simulations |
| 19 | Figure 4 – Passenger and driver positions in the vehicle for the SAR simulations Figure 5 – Bystander positions relative to the vehicle for the SAR simulations |
| 20 | 5.6 Accounting for variations in population relative to the standard human body model 5.6.1 Whole-body average SAR adjustment factors |
| 21 | Table 2 – Whole-body average SAR adjustment factors forthe bystander and trunk mount antennas Table 3 – Whole-body average SAR adjustment factors forthe bystander and roof mount antennas Table 4 – Whole-body average SAR adjustment factors forthe passenger and trunk mount antennas |
| 22 | 5.6.2 Peak spatial-average SAR adjustment factors Table 5 – Whole-body average SAR adjustment factors forthe passenger and roof mount antennas |
| 23 | Table 6 – Peak spatial-average SAR adjustment factors forthe bystander model and trunk mount antennas Table 7 – Peak spatial-average SAR adjustment factors for the bystander model and roof mount antennas Table 8 – Peak spatial-average SAR adjustment factors for the passenger model and trunk mount antennas |
| 24 | 6 Validation of the numerical models 6.1 Validation of antenna model 6.1.1 General 6.1.2 Experimental antenna model validation Table 9 – Peak spatial-average SAR adjustment factors forthe passenger model and roof mount antennas |
| 25 | 6.1.3 Numerical antenna model validation Figure 6 – Experimental setup for antenna model validation |
| 26 | 6.2 Validation of the human body model |
| 27 | Figure 7 – Benchmark configuration for bystander modelexposed to a front or back plane wave Table 10 – Peak spatial-average SAR for 1 g and 10 g and whole-body average SAR for the front and back plane wave exposure of the 3-mm resolution bystander model |
| 28 | 6.3 Validation of the vehicle numerical model 6.3.1 General Figure 8 – Benchmark configuration for passenger model exposedto a front or back plane wave Table 11 – Peak spatial-average SAR for 1 g and 10 g and whole-body average SAR for the front and back plane wave exposure of the 3-mm resolution passenger model |
| 29 | 6.3.2 Vehicle model validation for bystander exposure simulations Figure 9 – Configuration for vehicle numerical model validation Table 12 – Antenna length for the vehicle model validation configurations |
| 30 | 6.3.3 Vehicle model validation for passenger exposure simulations Table 13 – The reference electric field (top) and magnetic field (bottom) valuesfor the numerical validation of the vehicle model for bystander exposure |
| 31 | Table 14 – Coordinates of the test points for the standard vehiclevalidation simulations for the passenger |
| 32 | 7 Computational uncertainty 7.1 General considerations Table 15 – The reference electric field (top) and magnetic field (bottom) valuesfor the numerical validation of the vehicle model for passenger exposure |
| 33 | 7.2 Contributors to overall numerical uncertainty in standard test configurations 7.2.1 General 7.2.2 Uncertainty of the numerical algorithm 7.2.3 Uncertainty of the numerical representation of the vehicle and pavement |
| 34 | 7.2.4 Uncertainty of the antenna model |
| 35 | 7.2.5 Uncertainty of SAR evaluation in the standard bystander and passenger models 7.3 Uncertainty budget |
| 36 | 8 Benchmark simulation models 8.1 General Table 16 – Numerical uncertainty budget for exposure simulations with vehicle mounted antennas and bystander and/or passenger models |
| 37 | 8.2 Benchmark for bystander exposure simulations Figure 10 – Side view (top) and rear view (bottom) benchmark validationconfiguration for bystander and trunk mount antenna |
| 38 | 8.3 Benchmark for passenger exposure simulations Table 17 – Reference SAR values for the bystander benchmark validation model |
| 39 | Figure 11 – Benchmark validation configuration for passenger and trunk mount antenna Table 18 – Reference SAR values for the passenger benchmark validation model |
| 40 | 9 Documenting SAR simulation results 9.1 General 9.2 Test device 9.3 Simulated configurations 9.4 Software and standard model validation 9.5 Antenna numerical model validation 9.6 Results of the benchmark simulation models |
| 41 | 9.7 Simulation uncertainty 9.8 SAR results |
| 42 | Annex A (normative) File format and description of the standard human body models A.1 File format |
| 43 | Table A.1 – Voxel counts in each data file Table A.2 – Tissues and the associated RGB colours in the binary data file |
| 44 | A.2 Tissue parameters |
| 45 | Table A.3 – Cole–Cole parameters and density for the standard human body model tissues (1 of 2) |
| 47 | Table A.4 – Relative dielectric constant and conductivity for the standard human body model at selected reference frequencies (1 of 2) |
| 49 | Annex B (informative) Population coverage Table B.1 – Whole-body average SAR adjustment factors for the bystander model and trunk mount antenna |
| 50 | Table B.2 – Whole-body average SAR adjustment factors forthe bystander model and roof mount antenna Table B.3 – Whole-body average SAR adjustment factors for the passenger model and trunk mount antenna Table B.4 – Whole-body average SAR adjustment factors forthe passenger model and roof mount antenna |
| 51 | Table B.5 – Peak spatial-average SAR adjustment factors for the bystander model and trunk mount antenna Table B.6 – Peak spatial-average SAR adjustment factors forthe bystander model and roof mount antenna Table B.7 – Peak spatial-average SAR adjustment factors forthe passenger model and trunk mount antenna |
| 52 | Table B.8 – Peak spatial-average SAR adjustment factors forthe passenger model and roof mount antenna |
| 53 | Annex C (informative) Peak spatial-average SAR locations for the validation and the benchmark simulation models Table C.1 – Location of the peak spatial-average SAR forthe front and back plane wave exposure of the standard human body models Table C.2 – Location of the peak spatial-average SAR forthe vehicle mounted antenna benchmark simulation models |
| 54 | Bibliography |
