The signal-to-noise ratio of human divers

Author

Brekke, Edmund ; Hallingstad, Oddvar ; Glattetre, John

Author_Institution

Univ. Grad. Center, Kjeller, Norway

fYear

2010

fDate

24-27 May 2010

Firstpage

1

Lastpage

10

Abstract

A challenging problem in underwater acoustics is the detection and tracking of human divers. In order to assess the suitability of different tracking methods on this problem, an evaluation of the signal-to-noise ratio (SNR) is required. This paper investigates the SNR of a human diver using two approaches. The first approach is a moment-based target power estimator which uses the amplitudes of measurements validated by the tracking method. The second approach is by means of the receiving operating characteristic (ROC). The integrated Probabilistic Data Association (IPDA) is used to track the diver. To the best of our knowledge, this is the first well-documented implementation of the IPDA on real data.

Keywords

sensor fusion; sonar detection; target tracking; IPDA; ROC; SNR; human diver detection; human diver tracking method; integrated probabilistic data association; moment-based target power estimator; receiving operating characteristic; signal-to-noise ratio; underwater acoustics; Clutter; Coherence; Humans; Signal to noise ratio; Silicon; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2010 IEEE - Sydney

Conference_Location

Sydney, NSW

Print_ISBN

978-1-4244-5221-7

Electronic_ISBN

978-1-4244-5222-4

Type

conf

DOI

10.1109/OCEANSSYD.2010.5603530

Filename

5603530