Open AccessResearch on Ultra-Wideband Radar Target Recognition Method
Author(s) -
Junxia Li,
Qin Zhang,
Guimei Zheng
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1651/1/012194
Subject(s) - radar , computer science , ultra wideband , artificial intelligence , radar imaging , continuous wave radar , bistatic radar , computer vision , remote sensing , telecommunications , geography
UWB (Ultra wide-brand) radar, as a new system radar, has attracted more and more attention in military and civil fields such as target detection, imaging and recognition with its high range resolution, strong penetration, low interception rate and strong anti-interference. This paper focuses on the feature extraction methods based on pole distribution and scattering center combined with the characteristics and application directions of UWB radar. On this basis, combined with intelligent pattern recognition methods such as neural networks, fuzzy patterns, and information fusion, the problems that still need to be solved in the process of UWB radar target recognition are proposed.