Miguel Alejandro Salas Natera
- Name: Miguel Alejandro Salas Natera
- E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
- Phone: +34 910-672-343
- Position: Assistant doctors
- Office: B-411
Dr. Miguel A. Salas-Natera is an Electrical Engineer major in Telecommunications. He received the Master in Space Technologies degree in 2011, and the PhD in Technologies and Communications Systems degree in 2011 also, both from Universidad Politécnica de Madrid (UPM). One year later, he was Technical Director at Antenna System Solutions Company (spin-off of the UPM) for two years. Then, Dr. Miguel Salas has made Postdoc Researcher Stage in the Applied Electromagnetism Group (GEA) at ETSIT-UPM at the time he was Adjunct Professor in the EPS-Universidad Autónoma de Madrid (UAM). Nowadays, he is Assistant Professor and Researcher at the Radiation Group of the Universidad Politécnica de Madrid. In addition, he is the responsible of the special session on satellite communications systems (SATCOM) since its beginnings in URSI2016 in Spain.
Miguel Salas-Natera has led and participated in a number of international (ESA, government official and private) projects related to the development of new antenna technologies, ground segment and on-board solutions, antenna test and validation ranges for the aerospace and defence industry, within public and private funding. Besides, he has worked in the design of novel antenna systems and has proposed novel uncertainty analyses methods and calibration methods for active antenna arrays being part of his research interests as the analysis, characterization and design of satellite communication antenna systems. He is currently involved in the development and design of ultra-compact reflector antennas including the development of novel technologies for phased array antennas and reflectarray antennas for satellite communication systems. Furthermore, he is actively participating in the development of flexible-transparent transponder antenna systems for classical GEO satellites systems as well as for novel massive LEO satellites and HAP systems.
Proyectos
- Advising on R&D&i activities for the preliminary analysis of a X and Ka dual band compact antenna system for SATCOM on-board airplanes
- Advising on R&D&i activities for the design and development of critical components of the X and Ka dual band compact antenna system for SATCOM on-board vehicles
- Advising on R&D&i activities for the Selection of Planar Antenna Array Technology
- Advising on R&D&i activities for the Selection of Antenna Concept and Technology for future HAPCOM systems
- MARTA: Multiple Beam Antennas Based on Reflectarray and Transmitarrays. European Space Agency.
- FEEDs: Technical advice and feasibility analysis for the design of cutting edge solutions for SATCOM system feeds for reflector antennas at X, Ku and Ka-bands
- T-PHA3: Technical advice and feasibility analysis with design of innovative solutions for phased array antennas and active antenna arrays for covering the technological needs of future SATCOM systems
- RAIPAD: Reflectarray Antennas with Improved Performances and Design Techniques. European Space Agency
- Technical advice and feasibility analysis with design of separated, transportable and changeable splash-plate feeds for a 1.2m reflector antenna at X, Ku and Ka Bands
- Design of a latest generation DRM 2 Modulator
- 3D-RF Indoor Location
- Antenna Arrays for Deep Space Communications
- GRUA: Ground Up-link Array
- Design and testing of the digital processing stage of an array for receiving the VHF band signal LRPT parameters of the MetOp satellite
- Advising on R&D&i activities for the design and development of critical components of the X and Ka dual band compact antenna system for SATCOM on-board airplanes
Publicaciones
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Cooperative Multi-Agent Deep Reinforcement Learning for Resource Management in Full Flexible VHTS Systems
F. G. Ortiz-Gomez, D. Tarchi, R. Martínez, A. Vanelli-Coralli, M. A. Salas-Natera and S. Landeros-Ayala, "Cooperative Multi-Agent Deep Reinforcement Learning for Resource Management in Full Flexible VHTS Systems," in IEEE Transactions on Cognitive Communications and Networking, June 2021. doi: 10.1109/TCCN.2021.3087586.
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New Antenna Array Architectures for Satellite Communications