Target Characteristic Fusion Recognition Based on D-Sevidence Theory
Xinjun Tai, Jianrong Lu, Dongsheng Zhang
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.32How to use a DOI?
- Evidence theory; Radar cross section; Polarization scattering matrix
- 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.
- 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 -