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A Gaussian-Sum Based Cubature Kalman Filter for Bearings-Only Tracking | IEEE Journals & Magazine | IEEE Xplore

A Gaussian-Sum Based Cubature Kalman Filter for Bearings-Only Tracking


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 develo...Show More

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 Gaussian-sum framework. The new algorithm consists of a splitting and merging procedure when a high degree of nonlinearity is detected. Simulation results show that the proposed algorithm demonstrates comparable performance to the particle filter (PF) with significantly reduced computational cost.
Published in: IEEE Transactions on Aerospace and Electronic Systems ( Volume: 49, Issue: 2, April 2013)
Page(s): 1161 - 1176
Date of Publication: 05 April 2013

ISSN Information:


References

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