Journal article

Gaussian mixture multitarget-multisensor Bernoulli tracker for multistatic sonobuoy fields

Branko Ristic, Daniel Angley, Sofia Suvorova, Bill Moran, Fiona Fletcher, Han Gaetjens, Sergey Simakov

IET RADAR SONAR AND NAVIGATION | INST ENGINEERING TECHNOLOGY-IET | Published : 2017

Abstract

Sonobuoy fields, consisting of a large network of emitter and receiver sonar sensors on buoys, are increasingly being used for detection and tracking of underwater targets in a defined maritime area. This study presents a Gaussian mixture version of a multitarget-multisensor (MS) Bayesian-type tracker developed specifically for multistatic sonobuoy fields. Its foundation is the optimal Bayesian MS filter for a single target in clutter. The multi target feature is incorporated using the linear-multitarget paradigm, which is a fast and accurate approximation assuming the density of underwater targets is low. Reliable track initiation and false track discrimination for low signal-to-noise ratio..

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