Target Characteristic Fusion Recognition Based on D-Sevidence Theory

DOI

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.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/citcs.2012.32
ID  - Tai2012/11
ER  -