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LSTM-based method for LOS/NLOS identification in an indoor environment

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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