Open AccessMicro‐motion feature extraction of narrow‐band radar target based on ROMP
Author(s) -
Chen Shuai,
Feng Cunqian,
Xu Xuguang
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0759
Subject(s) - matching pursuit , radar , feature extraction , computer science , artificial intelligence , feature (linguistics) , signal (programming language) , rotation (mathematics) , narrowband , motion (physics) , computer vision , rotation around a fixed axis , pattern recognition (psychology) , physics , telecommunications , compressed sensing , linguistics , philosophy , classical mechanics , programming language
In this study, a new method based on regularised orthogonal matching pursuit (ROMP) decomposition is proposed to extract the feature of the ballistic target's rotating micro‐motion. Based on the establishment of the ballistic target rotation model, the general model of target's narrowband radar echo is obtained. An over‐complete dictionary of atoms is established by combining the intrinsic characteristics of the signal model, and the selection of the matched atoms is carried out according to the regularisation principle. The extraction of the target's rotating micro‐motion feature and the reconstruction of the original signal are realised. Simulation results show that the method can extract the micro‐motion feature efficiently and accurately.