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

Pei H. Leong; Sanjeev Arulampalam; Tharaka A. Lamahewa; Thushara D. Abhayapala

doi:10.1109/lsp.2014.2307075

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

Pei H. Leong Sanjeev Arulampalam Tharaka A. Lamahewa Thushara D. Abhayapala

Year: 2014 Journal: IEEE Signal Processing Letters Vol: 21 (5)Pages: 513-517 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lsp.2014.2307075

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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

Keywords:

Robustness (evolution) Kalman filter Gaussian Algorithm Computer science Extended Kalman filter Control theory (sociology) Mathematics Artificial intelligence Physics

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Indoor and Outdoor Localization Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

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

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