Cooperative environment recognition utilizing UWB waveforms and CNNs
| Autor: | Sanna Kaasalainen, Maija Makela, Laura Ruotsalainen, Jesperi Rantanen, Martti Kirkko-Jaakkola, Julian Ilinca |
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| Přispěvatelé: | Lange, G., SUSTAINABLE URBAN DEVELOPMENT EMERGING FROM THE MERGER OF CUTTING-EDGE CLIMATE, SOCIAL AND COMPUTER SCIENCES, Doctoral Programme in Computer Science, Department of Computer Science, Helsinki Institute of Sustainability Science (HELSUS), Spatiotemporal Data Analysis |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Situation awareness
Computer science Real-time computing Ultra-wideband 02 engineering and technology Navigation systems 01 natural sciences Convolutional neural network Signal First responder 0202 electrical engineering electronic engineering information engineering Cooperative environment Waveform Wave forms First responders 010401 analytical chemistry Navigation system 020206 networking & telecommunications Ranging Localization performance 113 Computer and information sciences 0104 chemical sciences Situational awareness Ultra-wideband (UWB) Convolutional neural networks Cooperative navigations Ultra wideband signals UWB signals |
| Zdroj: | ENC |
| Popis: | Cooperative navigation enhances localization performance and situational awareness in challenging conditions, such as in tactical and first responder operations. In this work we demonstrate how the waveform of the Ultra Wideband (UWB) signal used for ranging in cooperative navigation can also be used to detect the environment surrounding the user of the navigation system. Different environments affect the wave-form in different ways, and thus the received waveform contains features characteristic to the environment around the receiver. We show how the received UWB signal waveform can be used in a Convolutional Neural Network (CNN) in order to determine whether the user is outdoors, indoors or in a forest. The environment is recognized correctly more than 90% of the time. © 2020 German Institute of Navigation - DGON. |
| Databáze: | OpenAIRE |
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