NDLI: A Gaussian mixture motion model and contact fusion applied to the Metron data set

Content Provider	IEEE Xplore Digital Library
Author	Wilkens, K. Daun, M.
Copyright Year	2011
Description	Author affiliation: Fraunhofer FKIE Department Sensor Data and Information Fusion, Wachtberg, Germany (Daun, M.) \|\| Institute for Digital Signal Processing, Faculty of Engineering, University of Kiel, Kiel, Germany (Wilkens, K.)
Abstract	In active sonar, low measurement rates of up to several minutes are commonly used. Thus, strong manoeuvres may occur between two measurements. To assure high-quality tracking, target dynamics have to be modelled precisely. In this paper, a variant of the Nearly Constant Velocity model is presented with deviations modelled according to the assumption that for submarine manoeuvres a change in heading is more likely than a change in speed. The proposed motion model uses Gaussian Mixtures to approximate the non-Gaussian distribution after the Kalman Filter prediction step. It is realised in the framework of multi-hypothesis tracking and applied to the Metron data set which simulates sonar contacts detected by 25 distributed sonobuoys. A high amount of low-quality input data is provided to the tracker. Thus, this paper additionally proposes a contact-fusion approach to display the measurements of a single time step and of multiple sensors into Cartesian coordinates.
Starting Page	1
Ending Page	8
File Size	436527
Page Count	8
File Format	PDF
ISBN	9781457702679
e-ISBN	9780982443828
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Intl Society of Info Fusion
Subject Keyword	Target tracking Noise Approximation methods Uncertainty Sonar Kalman filters Contact Fusion Multistatic Tracking Multi-Hypothesis Tracking Gaussian Mixtures Motion Model
Content Type	Text
Resource Type	Article

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