Analysis of microstrip coupled line based data signal and energy hybrid receiver

Abstract

This paper develops an original circuit theory of energy and data transition. The modelling of signal and energy hybrid receiver (SEHR) is developed. The SEHR topology is described in function of the constituting coupled line (CL) and a transmission line (TL) performed with unfamiliar and arbitrary load values. The equivalent S-matrix versus electrical parameters is established. The analysis of the S-matrix enables to predict the transmitted power and also the optimal condition of zero reflection in function of the terminal loads. The validity of the SEHR analytical model is verified with commercial tool simulations with a microstrip structure proof-of-concept. A configuration of electromagnetic (EM) environment operating at 2.45 GHz with input power of about 0 dBm is considered. The prediction of detected average energy and transmitted data-signal voltage amplitude in function of SEHR electrical and geometrical parameters is discussed.

Keywords:

• Energy and data
• S-matrix
• analytical modelling
• circuit theory
• microstrip circuit
• parametric analysis
• signal and energy hybrid receiver (SEHR)
• topology
• transition structure

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Jiangsu Distinguished Professor Program and Six Major Talents Summit of Jiangsu Province under Grant 2019-DZXX-022.

Notes on contributors

N. M. Murad

Dr. HdR. N. M. Murad received the Ph.D. degree in communication and electronics from Telecom Paris, in 2001. He's currently an Assistant Professor with the University of Reunion, IUT, Networks and Telecom Lab and is responsible of a team research on “Energy Optimization for Sensor Networks”. He directed and co-supervised many Ph.D. students and was the scientific responsible of ANR and Feder projects. Its research relates to digital communication, RF, signal, and information theory with application on wireless communications and energy harvesting.

L. Rajaoarisoa

Dr. L. Rajaoarisoa is currently an Assistant Professor at the Institut Mines-Télécom Lille Douai. He received his M.Sc. degree and PhD in Automatic and Computer Sciences, both at the University of Aix-Marseille, France in 2005 and 2009. His research interests are the development of data-driven tools and methods for the observation and control of large-scale distributed systems. Develop predictive models and controllers to assess system behavior and optimize its performance. This development includes the analysis of intrinsic properties such as stability, observability, identifiability and controllability. He is involved in research activities dedicated to the optimization of energy efficiency of building systems and the control and management of hydraulic systems with more than 80papers published in refereed journals and conferences. He regularly participates and contributes on several international projects (ANR, FUI, and INTERREG) and was the supervisor of more than of 15 PhD students, postdocs, research engineers and Master internships.

S. Lalléchère

Dr. S. Lalléchère received the PhD. Degree in electronics/electromagnetism from Université Blaise Pascal, Clermont-Ferrand, France, in 2006. He is currently an Associate Professor at Institut Pascal and Université Clermont Auvergne, France. His research interests cover the fields of electromagnetic compatibility including complex electromagnetic environments, electromagnetic coupling, and computational electromagnetics.

G. Fontgalland

Dr. G. Fontgalland received his PhD from the INPT/ENSEEIHT (1999), Toulouse, France, where his Thesis was nominated for the Leopold Escande Award. He is a Full Professor at the UFCG, Brazil. He has published more than 220 papers in journals and conferences. He is past IEEE APS chapter chair and coordinator of the 2021 IEEE APS Student Design Contest and 2021 APS Field Awards Evaluation. He is an Associate Editor at IEEE Latin America Transactions.

B. Ravelo

Prof. Dr. B. Ravelo is currently Professor at NUIST, China. He is a pioneer of the NGD concept and its applications. His Google scholar h-index in 2020 is 21. He is (co-)authors of more than 310 scientific research papers published in international conference, journals and books.