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
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..View full abstract
This research was supported in part by the Defence Science and Technology Group under the Research Agreement 'Sensor Scheduling for Multistatic Sonar Systems'.