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Gaussian-Sum Cubature Kalman Filter with Improved Robustness for Bearings-only Tracking | IEEE Journals & Magazine | IEEE Xplore

Gaussian-Sum Cubature Kalman Filter with Improved Robustness for Bearings-only Tracking


Abstract:

This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the original algorithm proposed by the authors in , which demonstrated ex...Show More

Abstract:

This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the original algorithm proposed by the authors in , which demonstrated excellent accuracy and efficiency for the bearings-only tracking problem. Modifications are made in the splitting and merging procedure of the Gaussian components in the algorithm. Simulation results confirm the improved robustness of the modified algorithm against the choice of threshold level for the splitting procedure.
Published in: IEEE Signal Processing Letters ( Volume: 21, Issue: 5, May 2014)
Page(s): 513 - 517
Date of Publication: 20 February 2014

ISSN Information:


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