Daniel Rönnow

Daniel Rönnow

Professor Electronics

E-mail: daniel.ronnow@hig.se

Telephone: +46-(0)26-64 85 93

Daniel Rönnow received his MSc in Engineering Physics from Uppsala University in 1991, and his Tech Lic and PhD in solid state physics in 1994 and 1996, respectively. 1996 to 1998 he was a post doc at Max Planck Institut für Festkörperforschung, Stuttgart, Germany. Since 2000 he is an associate professor in solid state physics, also at Uppsala University. He has held several positions in industry and academic research. 

He has been active in several scientific fields, such as optical instrumentation, thin film optics and elastic light scattering, semiconductor physics, radio frequency and microwave measurement techniques, system identification and linearization of nonlinear dynamic systems, and seismic sensors and signal processing. He is currently professor at University of Gävle. 

Research

His present research interests are methods for characterization of radio and microwave components, examples are phase noise and nonlinear dynamic properties, in particulare for MIMO devices and systems. He also works with linearization of microwave components with applications in tele and satellite communication and with metamaterials at microwave frequencies.

 

 

Recent publications

Sarika, ., Tripathy, M. & Rönnow, D. (2018). A wideband frequency selective surface reflector for 4G/X-Band/Ku-Band. Progress In Electromagnetics Research C, 81, 151-159. Link [More information]
Eroglu, A. & Rönnow, D. (2018). Design of multilayer and multiline microstrip directional coupler with closed form relations. Progress In Electromagnetics Research C, 83, 1-14. [More information]
Händel, P. & Rönnow, D. (2018). Dirty MIMO Transmitters : Does It Matter?. IEEE Transactions on Wireless Communications, 17 (8), 5425-5436. 10.1109/TWC.2018.2843764 [More information]
Sarika, n., Kumar, R., Tripathy, M. & Rönnow, D. (2019). An approach to improve gain and bandwidth in bowtie antenna using frequency selective surface. Smart Innovations in Communication and Computational Sciences : Proceedings of ICSICCS 2017, Volume 1: Springer. S. 219-227. 10.1007/978-981-10-8968-8_19 [More information]
Alizadeh, M., Rönnow, D. & Händel, P. (2018). Characterization of Volterra Kernels for RF Power Amplifiers Using a Two-Tone Signal and a Large-Signal. 2018 International Conference on Communications, COMM 2018 - Proceedings: Institute of Electrical and Electronics Engineers (IEEE). S. 351-356. 10.1109/ICComm.2018.8430119 [More information]
Published by: Zara Lindahl Page responsible: Gunilla Mårtensson Updated: 2016-12-20
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