A Gaussian-sum based cubature Kalman filter for bearings-only tracking
Date
2013
Authors
Leong, Pei
Arulampalam, Sanjeev
Lamahewa, Tharaka A
Abhayapala, Thushara
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Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
Herein is presented an efficient nonlinear filtering algorithm called the Gaussian-sum cubature Kalman filter (GSCKF) for the bearings-only tracking problem. It is developed based on the recently proposed cubature Kalman filter and is built within a Gauss
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Keywords: Bearings-only tracking; Computational costs; Cubature kalman filters; Degree of non-linearity; Nonlinear filtering algorithm; Particle filter; Splitting and merging; Algorithms; Kalman filters; Target tracking; Gaussian distribution
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Source
IEEE Transactions on Aerospace and Electronic Systems
Type
Journal article
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Restricted until
2037-12-31
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