Gaussian Mixture Multitarget Multisensor Bernoulli Tracker for Multistatic Sonobuoy Fields

Ristic, B, Angley, D, Suvorova, S, Moran, W, Fletcher, F, Gaetjens, H and Simakov, S 2017, 'Gaussian Mixture Multitarget Multisensor Bernoulli Tracker for Multistatic Sonobuoy Fields', IET Radar, Sonar & Navigation, vol. 11, no. 12, pp. 1790-1797.


Document type: Journal Article
Collection: Journal Articles

Title Gaussian Mixture Multitarget Multisensor Bernoulli Tracker for Multistatic Sonobuoy Fields
Author(s) Ristic, B
Angley, D
Suvorova, S
Moran, W
Fletcher, F
Gaetjens, H
Simakov, S
Year 2017
Journal name IET Radar, Sonar & Navigation
Volume number 11
Issue number 12
Start page 1790
End page 1797
Total pages 8
Publisher Institution of Engineering and Technology
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 de- fined maritime area. The paper presents a Gaussian mixture version of a multitarget multisensor Bayesian-type tracker developed specifically for multistatic sonobuoy fields. Its foundation is the optimal Bayesian multisensor filter for a single target in clutter. The multitarget feature is incorporated using the linear-multitarget (LMT) 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 SNR targets is achieved using the amplitude feature of reported detections. The developed tracker is capable of processing measurements with different modalities, depending on the transmitted signal waveform. It is integrated and tested within a realistic multistatic sonar emulator developed by DST Group.
Subject Signal Processing
Control Systems, Robotics and Automation
DOI - identifier 10.1049/iet-rsn.2017.0077
Copyright notice © The Institution of Engineering and Technology 2017
ISSN 1751-8792
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 11 Abstract Views  -  Detailed Statistics
Created: Thu, 06 Dec 2018, 10:39:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us