Search and Rescue (SaR) operations in avalanche scenarios rely on rapid and precise victim localization. Traditional ARTVA devices suffer from limited detection range, while LoRa technology has emerged as a promising alternative due to its long-range capabilities. This paper presents, for the first time, multi-slope path loss (PL) RSSI-based localization algorithm to real-world through-the-snow LoRa datasets. Controlled field tests show 75% accuracy within a 7 meters radius using data from a single search axis. Combining data from multiple axes, simulating a multi-operator SaR scenario, enables exact burial localization with zero error. These results underscore the potential of LoRa-based multi-slope localization as a robust alternative to conventional avalanche rescue systems.

Multi-slope RSSI-based localization for LoRa transmitters in avalanche rescue scenarios

Girolami Michele;Berton Andrea;Mavilia Fabio
2026

Abstract

Search and Rescue (SaR) operations in avalanche scenarios rely on rapid and precise victim localization. Traditional ARTVA devices suffer from limited detection range, while LoRa technology has emerged as a promising alternative due to its long-range capabilities. This paper presents, for the first time, multi-slope path loss (PL) RSSI-based localization algorithm to real-world through-the-snow LoRa datasets. Controlled field tests show 75% accuracy within a 7 meters radius using data from a single search axis. Combining data from multiple axes, simulating a multi-operator SaR scenario, enables exact burial localization with zero error. These results underscore the potential of LoRa-based multi-slope localization as a robust alternative to conventional avalanche rescue systems.
2026
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Istituto di Geoscienze e Georisorse - IGG - Sede Pisa
979-8-3195-4209-0
Modeling, Distance measurement, LoRa, Location awareness, Snow, Testing, Algorithms, Printing, Transmitters, Measurement
File in questo prodotto:
File Dimensione Formato  
ICC_2026___Algo_LoRa_snow DRAFT.pdf

accesso aperto

Descrizione: Multi-Slope RSSI-Based Localization for LoRa Transmitters in Avalanche Rescue Scenarios
Tipologia: Documento in Pre-print
Licenza: Altro tipo di licenza
Dimensione 1.86 MB
Formato Adobe PDF
1.86 MB Adobe PDF Visualizza/Apri
Girolami et al_Multi slope_VoR.pdf

solo utenti autorizzati

Descrizione: Multi-Slope RSSI-Based Localization for LoRa Transmitters in Avalanche Rescue Scenarios
Tipologia: Versione Editoriale (PDF)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 2.55 MB
Formato Adobe PDF
2.55 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/598163
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact