Improved Multitarget Tracking in Clutter Using Bearings-Only Measurements

Improved Multitarget Tracking in Clutter Using Bearings-Only Measurements

Multitarget tracking in clutter using bearings-only measurements is a challenging problem. In this paper, a performance improved nonlinear filter is proposed on the basis of the Random Finite Set (RFS) theory and is named as Gaussian mixture measurements-based cardinality probability hypothesis dens...

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Bibliographic Details
Main Authors: Yifang Shi, Mengfan Xue, Yuemin Ding, Dongliang Peng
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
bearings-only
multitarget tracking
measurement-origin-uncertainty
measurement nonlinearity
Gaussian mixture measurements-cardinality probability hypothesis density
Online Access:http://www.mdpi.com/1424-8220/18/6/1772

Internet

http://www.mdpi.com/1424-8220/18/6/1772

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