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Shooter localization in wireless acoustic sensor networks

Authors: Andrea Simone Pinna; Giuseppe Portaluri; Stefano Giordano;

Shooter localization in wireless acoustic sensor networks

Abstract

This paper introduces a feasibility study of a low cost and power effective wireless acoustic sensor network for shooter localization. Currently deployed sensors for this application use a time domain gunshot signal analysis and high sampling rates, in the order of MS/s. We investigate an alternative Short Time Fourier Transform with a lower sampling rate (250 kS/s). We focus on a single channel single sensor approach for shooter ranging and we provide new experimental data. We implement a centralized gateway on top of the open and programmable board named ZedBoard. Our approach localizes the shooter with a distance error that ranges between roughly half and three meters, so the results are encouraging for further studies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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