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Appendix A: Introduction to System-Level EMC Quantitative

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Fig. A.2 Construction of EMC geometric model of the platform

A.1 Pre-processing Function

EMCIC integrates a commercial CATIA environment and AI Environment. It has all the functions required to dene complex geometries, and supports import and generation of les in CATIA, IGES, STP, and STL formats. EMCIC also supports meshing. The platform EMC collection model is constructed as shown in Fig. A.2.

A.2 Post-processing Function

Through the post-processing function, the S parameters and the Cartesian and polar plot of antenna patterns (amplitude, phase, main polarization and cross polarization, circular polarization axis ratio, phase center) can be rendered, the eld strength is visualized and the EMC design reports can be generated. The visualization of an antenna pattern is shown in Fig. A.3.

A.3 Program Management

The program management function is to model the EMC design scheme, including: basic attributes of transmitter, receiver, transceiver and non-RF equipment, as well as the construction of transmission attributes, reception attributes, case attributes, cable attributes, and interference correlation. Initial layout settings for antennas, cables, and devices on the platform are also covered in the program management function as shown in Figs. A.4, A.5, and A.6.

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Appendix A: Introduction to System-Level EMC Quantitative

Fig. A.3 Data visualization of an antenna pattern

Fig. A.4 Parameterized modeling of equipment/subsystems

Appendix A: Introduction to System-Level EMC Quantitative

329

Fig. A.5 Behavioral modeling of equipment/subsystems

Fig. A.6 Construction of interference correlation relationship between equipment/subsystems

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Appendix A: Introduction to System-Level EMC Quantitative

A.4 EMC Evaluation

The EMC evaluation function allows users to do rapid analysis, amplitude analysis, frequency analysis and detailed analysis. For equipment pairs that are electromagnetic incompatible or with potential safety hazard, self-developed simulation prediction algorithms, relevant commercial software or test data are used to obtain the electromagnetic interference correlation matrix as shown in Figs. A.7, A.8, and A.9.

Fig. A.7 Pre-evaluation of EMC antenna coupling

Fig. A.8 Pre-evaluation of EMC line crosstalk