Nuno Borges Carvalho (S’92–M’00–SM’05), was born in Luanda, Angola, in 1972. He received the Diploma and Doctoral degrees in electronics and telecommunications engineering from the Universidade de Aveiro, Aveiro, Portugal, in 1995 and 2000, respectively.
He is currently an Associate Professor with “Agregação”. He is also a Senior Research Scientist with the Instituto de Telecomunicações, Universidade de Aveiro. During which time he was engaged in different projects on nonlinear circuit and system analysis and RF system integration. He coauthored Intermodulation in Microwave and Wireless Circuits (Artech House, 2003). He has been a reviewer for several magazines. His main research interests include characterization and measurement of nonlinear circuits/systems, nonlinear distortion analysis and design of dedicated radios and systems for newly emerging wireless technologies.
Dr. Borges Carvalho is a member of the Portuguese Engineering Association. He is a reviewer for the IEEE Transactions on Microwave Theory and Techniques, Associate Editor of the IEEE Microwave Magazine and the vice-chair of the IEEE MTT-11, and an IEEE MTT-20 Technical Committee member. He was the recipient of the 1995 Universidade de Aveiro and the Portuguese Engineering Association Prize for the best 1995 student at the Universidade de Aveiro, the 1998 Student Paper Competition (third place) presented at the IEEE Microwave Theory and Techniques Society (IEEE MTT-S) International Microwave Symposium (IMS), and the 2000 Institution of Electrical Engineers (IEE), U.K., Measurement Prize.
Metrology Developments for Future Wireless Technologies
Emerging Wireless Technologies have an impact on nowadays microwave characterization technologies, the change in paradigm from analog to digital and from RF to DC, has a strong impact in the way nonlinear microwave characterization is seen. In this talk a general overview of these technologies is presented, focusing on Software Defined Radio and on RF-DC converters for Wireless Power Transmission, and despite its apparent differences, nonlinear characterization will be presented as an integrated view on how to model and how to characterize those components.