mgr inż. Alicja Olejniczak
Zatrudnienie
Słowa kluczowe Pomoc
Media społecznościowe
Kontakt
- aliolejn@pg.edu.pl
Asystent
- Miejsce pracy
-
Budynek A Elektroniki
pokój EA 402 otwiera się w nowej karcie - Telefon
- +48 58 347 29 28
- alicja.olejniczak@pg.edu.pl
Wybrane publikacje
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Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks
In this article, the usage of deep learning (DL) in ultra-wideband (UWB) Wireless Body Area Networks (WBANs) is presented. The developed approach, using channel impulse response, allows higher efficiency in identifying the direct visibility conditions between nodes in off-body communication with comparison to the methods described in the literature. The effectiveness of the proposed deep feedforward neural network was checked on...
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Software-Defined NB-IoT Uplink Framework - The Design, Implementation and Use Cases
In the radiocommunication area, we may observe a rapid growth of new technology, such as 5G. Moreover, all the newly introduced radio interfaces, e.g., narrowband Internet of Things (NB-IoT), are strongly dependent on the software. Hence, the radiocommunication software development and optimization, as well as the 3GPP technical specification, should be introduced at the academic level of education. In this paper, a software-defined...
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Implementation Of The Innovative Radiolocalization System VCS-MLAT (Voice Communication System Multilateration)
In the article the concept of the radiolocalization subsystem of the VHF communication for aviation VCS-MLAT (Voice Communication System – Multilateration) is presented. The distributed localization system can estimate the position of the aircraft using the audio signals from aircraft transmitters in the VHF band (118-136 MHz). This paper shows initial verification of the possibility to use voice airband communication to estimate...
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