Proceedings of the 2012 National Conference on Information Technology and Computer Science

Target Characteristic Fusion Recognition Based on D-Sevidence Theory

Authors
Xinjun Tai, Jianrong Lu, Dongsheng Zhang
Corresponding Author
Xinjun Tai
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.32How to use a DOI?
Keywords
Evidence theory; Radar cross section; Polarization scattering matrix
Abstract
D-S evidence theory is an important target fusion recognition in the characteristic fusion level. With a strong theoretical basis, this method can deal with not only the uncertainty caused by random but also the ambiguity caused by uncertainty. In this article, after the RCS (radar cross section) and the target polarization (polarization scattering matrix) of the three of heavy-duty truck, light truck and car are extracted, the characteristic vector of the targets can be obtained by using gray relevance method, fuzzy mathematics method and template matching method. By applying of Matlab sampling data, the RCS and target polarization time series of the heavy-duty truck, light truck and car were drawn. And, by using the simulation of the data, the different methods of target recognitions are analyzed.
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xinjun Tai
AU  - Jianrong Lu
AU  - Dongsheng Zhang
PY  - 2012/11
DA  - 2012/11
TI  - Target Characteristic Fusion Recognition Based on D-Sevidence Theory
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 115
EP  - 118
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.32
DO  - https://doi.org/10.2991/citcs.2012.32
ID  - Tai2012/11
ER  -