Utilizing Information Assets in RF and Microwave Engineering Workflows
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To meet the demands of next generation wireless communication systems, engineering teams must build flexible, reconfigurable design processes, or workflows, which are able to incorporate and leverage existing information in new ways. The challenge: over the past few decades, Electronic Design Automation (EDA) software platforms have focused on building elaborate user interfaces which obscure the lower-level mechanisms now required to build such workflows. Recently, several vendors have provided access to their EDA toolsets through Application Programming Interfaces (APIs), and in doing so have enabled new possibilities for leveraging information in the engineering design process through automation. This paper studies specific areas in high frequency simulation and measurement where automation can dramatically increase productivity and enable novel solutions to difficult problems by allowing engineering teams to use existing data which was previously inaccessible. Four examples are highlighted: netlist data mining, image-based physical modeling, simulation model extraction from measured data, and improved simulation and measurement speed using AI image completion.