Autor: |
Alicja Olejniczak, Piotr Rajchowski, Krzysztof Cwalina, Olga Blaszkiewicz, Jarosław Sadowski |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
2020 Baltic URSI Symposium (URSI). |
DOI: |
10.23919/ursi48707.2020.9253757 |
Popis: |
Due to confined spaces and various obstacles e.g. walls, furniture, indoor environment may be considered as a harsh and disturbing in terms of the indoor radiocommunication services operation. The given paper presents FNN (Feedforward Neural Network) method for LOS (Line-Of-Sight) and NLOS (Non-Line-Of-Sight) identification which may support mitigation of such a negative influence. Described FNN architecture was evaluated based on a real indoor measurements collected with the use of the UWB (Ultra Wideband) radio modules. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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