Micro-motion feature extraction of narrow-band radar target based on ROMP

• Main Authors: Shuai Chen, Cunqian Feng, Xuguang Xu
• Format: Article
• Language: English
• Published: Wiley 2019-09-01
• Series: The Journal of Engineering
• Subjects: radar target recognition; radar imaging; ballistics; time-frequency analysis; iterative methods; feature extraction; echo; signal model; matched atoms; regularisation principle; micromotion feature extraction; narrow-band radar target; romp; regularised orthogonal matching pursuit decomposition; ballistic target rotation model
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0759

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.