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Details
- Project's acronym:
- SCOTT
- Financial Program Name:
- HORIZON 2020
- Organization:
- Komisja Europejska
- Agreement:
- 737422 z dnia 2017-05-18
- Realisation period:
- 2017-12-21 - 2020-10-31
- Research team leader:
- dr hab. inż. Łukasz Kulas
- Realised in:
- Department of Microwave and Antenna Engineering
- External institutions
participating in project: -
- Fundacion Tekniker (Spain)
- Technische Universiteit Eindhoven (Netherlands)
- Linz Center of Mechatronics GmbH (Austria)
- Eye Networks AS (Norway)
- Smart Innovation Ostfold AS (Norway)
- Instituto Superior de Engenharia do Porto (Portugal)
- AVL (Austria)
- SBA Research Gemeinnützige GmbH (Austria)
- JIG Internet Consulting. (Spain)
- Xetal NV (Belgium)
- Qplox engineering BVBA (Belgium)
- Airbus (France)
- Vemco Sp Zoo (Poland)
- Cork Institute of Technology (Ireland)
- Hogskolan i Halmstad (Sweden)
- AIT Austrian Institute of Technology GmbH (Austria)
- Robert Bosch GmbH (Germany)
- Philips Lighting B.V (Netherlands)
- TellU AS (Norway)
- SICS Swedish ICT AB (Sweden)
- Stichting IMEC Nederland (Netherlands)
- Universidad Politecnica de Madrid (Spain)
- University of Oslo (Norway)
- Klas Telecom (Ireland)
- University College Cork (Ireland)
- Nokia Corporation TCC Nokia No (Finland)
- NXP Semiconductors Austria GmbH (Austria)
- Linus AS (Norway)
- Telenor ASA (Norway)
- Johannes Kepler Universität Linz (Austria)
- Instituto Tecnologico de Informatica (Spain)
- Technische Universiteit Delft (Netherlands)
- Koninklijke Philips N.V (Netherlands)
- Hogskolen i Oslo og Akershus (Norway)
- INDRA SISTEMAS S.A (Spain)
- Mondragon Goi Eskola Politeknikoa J.M.A.S. COOP (Spain)
- Acciona Infraestructuras S.A. (Spain)
- Ericsson AB (Sweden)
- CISC Semiconductor GmbH (Austria)
- FEV GmbH (Germany)
- FEV Polska Sp. z. o. o. (Poland)
- RDVelho OY (Finland)
- F-Secure Oyj (Finland)
- Kungliga Tekniska Hoegskolan (Sweden)
- NXP Semiconductors Netherlands B.V. (Netherlands)
- Siemens Aktiengesellschaft Oesterreich (Austria)
- Fundacion Tecnalia Research & Innovation (Spain)
- NXP Semiconductors Netherlands BV (Netherlands)
- Kompetenzzentrum – Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH (Austria)
- Philips Electronics Nederland B.V. (Netherlands)
- Movation AS (Norway)
- Teknologian Tutkimuskeskus VTT Oy (Finland)
- Embraer S. A. (Brazil)
- Tyco Ireland Limited (Ireland)
- CENTRIA AMMATTIKORKEAKOULU OY (Finland)
- Realtime Embedded AB (Sweden)
- GMVIS SKYSOFT SA (Portugal)
- Integrasys SA (Spain)
- Technische Universität Graz (Austria)
- Project's value:
- 39 090 240.69 EUR
- Request type:
- International Research Programmes
- Domestic:
- International project
- Verified by:
- Gdańsk University of Technology
Papers associated with that project
Filters
total: 3
Catalog Projects
Year 2019
-
Improved RSS-Based DoA Estimation Accuracy in Low-Profile ESPAR Antenna Using SVM Approach
PublicationIn this paper, we have shown how the overall performance of direction-of-arrival (DoA) estimation using lowprofile electronically steerable parasitic array radiator (ESPAR) antenna, which has been proposed for Internet of Things (IoT) applications, can significantly be improved when support vector machine (SVM) approach is applied. Because the SVM-based DoA estimation method used herein relies solely on received signal strength...
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Low-Profile ESPAR Antenna for RSS-Based DoA Estimation in IoT Applications
PublicationIn this paper, we have introduced a low-profile electronically steerable parasitic array radiator (ESPAR) antenna that can successfully be used to estimate the direction-of-arrival (DoA) of incoming signals in wireless sensor network (WSN) applications, in which the height of the complete antenna has to be low. The proposed antenna is over three times lower than high-profile ESPAR antenna designs currently available in the literature...
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RSS-Based DoA Estimation for ESPAR Antennas Using Support Vector Machine
PublicationIn this letter, it is shown how direction-of-arrival (DoA) estimation for electronically steerable parasitic array radiator (ESPAR) antennas, which are designed to be integrated within wireless sensor network nodes, can be improved by applying support vector classification approach to received signal strength (RSS) values recorded at an antenna's output port. The proposed method relies on ESPAR antenna's radiation patterns measured...
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