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Abstract
Due to the multipath propagation, harsh indoor environment significantly impacts transmitted signals which may adversely affect the quality of the radiocommunication services, with focus on the real-time ones. This negative effect may be significantly reduced (e.g. resources management and allocation) or compensated (e.g. correction of position estimation in radiolocalisation) by the LOS/NLOS identification algorithm. This paper investigates the idea of improving already existing method of LOS/NLOS classification, based on a deep feedforward neural network, by the LSTM-based model which allows extracting and analysing time-related dependencies occurring in a radio channel.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Olejniczak A., Błaszkiewicz O., Cwalina K., Rajchowski P., Sadowski J.: LSTM-based method for LOS/NLOS identification in an indoor environment// / : , 2020,
- Verified by:
- Gdańsk University of Technology
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