The algorithm of S-amended UKF in maneuvering target tracking

ZHANG Yuan; GUO Chen; LI Shu-jun; LIU Shu-bo; CHU Jun-bo

doi:10.16411/j.cnki.issn1006-7736.2015.02.015

Journal of Dalian Maritime University >

2015 , Vol. 41 >Issue 2: 84 - 86

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2015.02.015

The algorithm of S-amended UKF in maneuvering target tracking

ZHANG Yuan ,
GUO Chen ,
LI Shu-jun ,
LIU Shu-bo ,
CHU Jun-bo

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(1a. Department of Missile; 1b. Department of Hydrographic Surveying and Charting, Dalian Naval Academy, Dalian 116018, China; 2. Information Science and Technology College, Dalian Maritime University, Dalian 116026, China)

Received date: 2014-09-09

Revised date: 2014-09-28

Online published: 2015-06-07

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Abstract

Aiming at the problem of maneuvering target tracking under nonlinear observation, an S-amended unscented Kalman filtering (SUKF) was developed by using the idea of S-amended anti-divergent method for Kalman filter in linear filtering and improving the performance of unscented Kalman filtering algorithm. Two-dimensional maneuvering target tracking simulations were carried out, and results show that tracking accuracy is significantly improved comparing with the basic UKF algorithm, but calculation time increases slightly. Comparing with the basic UKF algorithm, tracking accuracy is improved, and calculation time reduces signif

Key words： maneuvering target tracking; unscented Kalman filter(UKF); S-amended

Cite this article

ZHANG Yuan , GUO Chen , LI Shu-jun , LIU Shu-bo , CHU Jun-bo . The algorithm of S-amended UKF in maneuvering target tracking[J]. Journal of Dalian Maritime University, 2015 , 41(2) : 84 -86 . DOI: 10.16411/j.cnki.issn1006-7736.2015.02.015

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