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Passive sonar target localization using a histogram filter with model-derived priors | IEEE Conference Publication | IEEE Xplore

Passive sonar target localization using a histogram filter with model-derived priors


Abstract:

The histogram filter is a grid-based implementation of a recursive Bayesian estimator, which is derivable from the Bayes' filter. It is applied to passive sonar target lo...Show More

Abstract:

The histogram filter is a grid-based implementation of a recursive Bayesian estimator, which is derivable from the Bayes' filter. It is applied to passive sonar target localization where the prior distributions for the histogram filter result from acoustic simulations with uncertain environmental parameters. Under certain assumptions the this filter is shown to be able to localize a moving target broadcasting a tonal signal in shallow water using a single hydrophone. The paper concludes with ideas for relaxing these assumptions.
Date of Conference: 26-29 October 2008
Date Added to IEEE Xplore: 12 June 2009
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Conference Location: Pacific Grove, CA, USA

References

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