In radar applications, different micromotion forms can be used as the basis of target recognition. However, the radar echo signal of multiple spatial targets is overlapping in the time-frequency and time-range domains, which increases the difficulty of micromotion feature extraction. In this article, a high-resolution imaging and micromotion feature extraction framework based on a multiple joint-domain radar tool is proposed to address this mixed signal. First, an accurate and suitable micromotion model of cone-shaped space multiple targets is built. Then, the 2-D adaptive regularized smoothed L0 norm algorithm based on sparse reconstruction is formulated to directly reconstruct the inverse synthetic aperture radar (ISAR) image. In addition, the range-frequency-time radar data cube can be extracted from the ISAR movie by the CLEAN algorithm. To solve the scattering point association problem in the radar data cube, a 3-D segmentation Viterbi algorithm is designed to extract the micromotion features. Finally, simulation and experiment results demonstrate the effectiveness of the proposed framework.
High-Resolution Imaging and Micromotion Feature Extraction of Space Multiple Targets
IEEE Transactions on Aerospace and Electronic Systems ; 59 , 5 ; 6278-6291
01.10.2023
4130945 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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