Study on RSS/AOA hybrid localization in life detection in huge disaster situation

Shi Yang Tang, Xue Ming Shu, Jun Hu, Rui Zhou, Shi Fei Shen, Si Yang Cao

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Rescue is a tough and time-consuming task in huge disaster. After stricken by a catastrophic natural disaster, the rescue force is typically deployed under the circumstance of traffic paralysis and lack of supplies. To cope with this situation, plenty of human resource and professional equipment are required. However, both the human resource and equipment are insufficient in most situations. The rescue force needs an efficient technology for searching the survivals, such as the life detection, which can be a key factor in disaster relief. Fast and accurate locating of the survivals will guide the limited rescue resource to save more survivors. However, current life detection technology cannot meet the demand of rescue in huge disaster. A novel life detection system based on fake base station is proposed. The detection system can scan the whole disaster area and find the cell phones, which leads to the surviving owners. As the system works in different way with other traditional human localization technology, a novel RSS/AOA hybrid positioning algorithm was proposed in this paper to increase the accuracy of localization. To verify the accuracy, two simulation tests were designed. The result of the two tests illustrates that the novel algorithm is more suitable to work with the novel life detection system.

Original languageEnglish (US)
Pages (from-to)569-583
Number of pages15
JournalNatural Hazards
Volume95
Issue number3
DOIs
StatePublished - Feb 15 2019

Keywords

  • AOA
  • Disaster relief
  • Life detection
  • RSS

ASJC Scopus subject areas

  • Water Science and Technology
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)

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