Detail publikace

A Deep Learning Approach to Multipath Component Detection in Power Delay Profiles

ZELENÝ, O. ZÁVORKA, R. PROKEŠ, A. FRÝZA, T. WOJTUŃ, J. KELNER, J. ZIÓŁKOWSKI, C. CHANDRA, A.

Originální název

A Deep Learning Approach to Multipath Component Detection in Power Delay Profiles

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Power Delay Profile (PDP) plays a crucial role in wireless communications, providing information on multipath propagation and signal strength variations over time. Accurate detection of peaks within PDP is essential to identify dominant signal paths, which are critical for tasks such as channel esti mation, localization, and interference management. Traditional approaches to PDP analysis often struggle with noise, low resolution, and the inherent complexity of wireless environments. In this paper, we evaluate the application of traditional and modern deep learning neural networks to reconstruction-based anomaly detection to detect multipath components within the PDP. To further refine detection and robustness, a framework is proposed that combines autoencoders and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering. To compare the performance of individual models, a relaxed F1 score strategy is defined. The experimental results show that the proposed framework with transformer-based autoencoder shows superior performance both in terms of reconstruction and anomaly detection.

Klíčová slova

signal propagation, channel measurement, power delay profile, multipath components, peak detection, anomaly detection, machine learning, deep learning

Autoři

ZELENÝ, O.; ZÁVORKA, R.; PROKEŠ, A.; FRÝZA, T.; WOJTUŃ, J.; KELNER, J.; ZIÓŁKOWSKI, C.; CHANDRA, A.

Vydáno

24. 5. 2025

Nakladatel

IEEE

Místo

Hnanice, Czech republic

ISBN

979-8-3315-4447-8

Kniha

Proceeding of the 35th International Conference Radioelektronika (RADIOELEKTRONIKA)

Strany od

319

Strany do

323

Strany počet

345

URL

https://ieeexplore.ieee.org/document/11008404

BibTex

@inproceedings{BUT197942,
  author="Ondřej {Zelený} and Radek {Závorka} and Aleš {Prokeš} and Tomáš {Frýza} and Jarosław {Wojtuń} and Jan M. {Kelner} and Cezary {Ziółkowski} and Aniruddha {Chandra}",
  title="A Deep Learning Approach to Multipath Component Detection in Power Delay Profiles",
  booktitle="Proceeding of the 35th International Conference Radioelektronika (RADIOELEKTRONIKA)",
  year="2025",
  pages="319--323",
  publisher="IEEE",
  address="Hnanice, Czech republic",
  doi="10.1109/RADIOELEKTRONIKA65656.2025",
  isbn="979-8-3315-4447-8",
  url="https://ieeexplore.ieee.org/document/11008404"
}