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HORKÝ, P.; PROKEŠ, A.; ZÁVORKA, R.; VYCHODIL, J.
Originální název
Channel Impulse Response Peak Clustering Using Neural Networks
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper introduces an approach to process channel sounder data acquired from Channel Impulse Response (CIR) of 60GHz and 80GHz channel sounder systems, through the integration of Long Short-Term Memory (LSTM) Neural Network (NN) and Fully Connected Neural Network (FCNN). Theprimary goal is to enhance and automate cluster detection within peaks from noised CIR data. The study initially compares the performance of LSTM NN and FCNN across different input sequence lengths. Notably, LSTM surpasses FCNN due to its incorporation of memory cells, which prove beneficial for handling longer series. Additionally, the paper investigates the robustness of LSTM NN through various architectural configurations. The findings suggest that robust neural networks tend to closely mimic the input function, whereas smaller neural networks are better at generalizing trends in time series data, which is desirable for anomaly detection, where function peaks are regarded as anomalies. Finally, the selected LSTM NN is compared with traditional signal filters, including Butterworth, Savitzky-Golay, Bessel/Thomson, and median filters. Visual observations indicate that the most effective methods for peak detection within channel impulse response data are either the LSTM NN or median filter, as they yield similar results.
Anglický abstrakt
Klíčová slova
LSTM, FCNN, DBSCAN, anomaly detection, clusters, peak detection, channel impulse response
Klíčová slova v angličtině
Autoři
Rok RIV
2025
Vydáno
22.12.2023
Nakladatel
Institute of Electrical and Electronics Engineers Inc.
Místo
Maroko
ISBN
979-8-3503-2939-1
Kniha
2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)
Strany od
1
Strany do
7
Strany počet
URL
https://commnet-conf.org/6thEditionProceedings/index.html
BibTex
@inproceedings{BUT188305, author="Petr {Horký} and Aleš {Prokeš} and Radek {Závorka} and Josef {Vychodil} and Jan M. {Kelner} and Cezary {Ziółkowski} and Aniruddha {Chandra}", title="Channel Impulse Response Peak Clustering Using Neural Networks", booktitle="2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)", year="2023", pages="1--7", publisher="Institute of Electrical and Electronics Engineers Inc.", address="Maroko", doi="10.1109/CommNet60167.2023.10365265", isbn="979-8-3503-2939-1", url="https://commnet-conf.org/6thEditionProceedings/index.html" }