Improved bearings-only target tracking with iterated Gaussian mixture measurements

Title
Improved bearings-only target tracking with iterated Gaussian mixture measurements
Author
송택렬
Keywords
UNSCENTED KALMAN FILTER; MOTION ANALYSIS; UPDATE
Issue Date
2017-02
Publisher
INST ENGINEERING TECHNOLOGY-IET
Citation
IET RADAR SONAR AND NAVIGATION, v. 11, No. 2, Page. 294-303
Abstract
In this study, a novel iterated Gaussian mixture measurements filter is proposed to represent the measurement likelihood function (LF) with Gaussian mixtures more precisely. The proposed approach recalculates the range interval using updated track components, and the LF is remodelled with Gaussian mixtures for the new range interval. Then, every regenerated measurement component is used to update all of the predicted track components for generating new updated track components. Experimental results demonstrate that the proposed method outperforms existing methods in bearings-only target tracking.
URI
http://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2016.0200http://repository.hanyang.ac.kr/handle/20.500.11754/71700
ISSN
1751-8784; 1751-8792
DOI
10.1049/iet-rsn.2016.0200
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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