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Multipath Propagation of Acoustic Signal in a Swimming Pool-Source Localization Problem.

Jacek MisiurewiczKonrad BrulińskiWiesław KlembowskiKrzysztof Stefan KulpaJan Pietrusiewicz
Published in: Sensors (Basel, Switzerland) (2022)
This paper explores the problem of severe multipath propagation of underwater acoustic signals in a swimming pool. The problem appeared in a study that examined a system used to signal emergency situations (i.e., pre-drowning symptoms detected by a wearable device on a pool user's wrist) and locate the signal source. A swimming pool acoustic environment is characterized by the presence of large flat reflecting planes surrounding a small volume of water. The reflections are numerous and much stronger than in typical hydroacoustic applications. In this paper, we attempted to create a model of the swimming pool response, one that is suitable for simulation experiments with detection and localization of emergency signals. Then, we explore the possible remedies for the localization system, applied on the transmit side (waveform design) and on the receive side (receiver placement and signal processing). Finally, we present an algorithm for object localization, considering the possible reflections with a multi-hypothesis approach.
Keyphrases
  • public health
  • emergency department
  • healthcare
  • deep learning
  • working memory
  • early onset
  • depressive symptoms
  • neural network