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Avionics Systems Panel Research and Innovation Perspectives

IEEE aerospace and electronic systems magazine(2020)

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摘要
As current, large-scale research and development initiatives are reshaping the future of aviation and space operations, avionics systems are becoming cyber-physical and progressively evolving into a variety of autonomous, intelligent, and closed-loop human-machine systems. This article provided the IEEE Aerospace & Electronic Systems Society (AESS) Avionics Systems Panel (ASP) views on avionics systems evolutionary pathways, with an identification of key research challenges and industry-focused innovation opportunities. The ever-increasing density of air traffic and the rise of unmanned aircraft systems (UAS) are prompting a rapid evolution of communication, navigation, surveillance/air traffic management (CNS/ATM) and avionics (CNSþA) technologies that will provide unprecedented enhancements in terms of safety and efficiency, thus unleashing additional airspace and airport capacity. Several of the underlying CNS technologies have already hit the market, while other more advanced capabilities and decision support systems are still being researched and developed. The methodological transition to performance-based operations (PBO) is also a quantum shift that will have profound impacts on aviation equipment mandates and standards with very tangible benefits in terms of airspace capacity, safety, access modalities, prioritization, and overall fairness. The PBO transition is well underway for navigation equipment standards and operational arrival/ departure procedures, whereas communication and surveillance equipment is still currently following legacy mandates/ equipage schemes.
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large-scale research,development initiatives,space operations,closed-loop human-machine systems,IEEE Aerospace & Electronic Systems Society Avionics Systems Panel views,avionics systems evolutionary pathways,key research challenges,industry-focused innovation opportunities,air traffic management,unmanned aircraft systems,CNS technologies,advanced capabilities,decision support systems
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