Abstract
Obtaining the scatterer slant range and scatterer trajectory association are two crucial steps of 3-D target imaging from the inverse synthetic aperture radar (ISAR) image sequence or high resolution range profiles (HRRP) series. However, scatterers are drowned out by noise at low SNR so that the scatterer slant range cannot be obtained. In addition, the minimum Euclidean distance criterion is a common trajectory method, which will lead to wrong association results when the scatterer trajectory has crossings. To tackle above problems, a novel ISAR 3-D imaging method based on Generalized Radon-Fourier Transform (GRFT) is proposed. In this method, the slant range history of the scatterer is reconstructed based on GRFT without trajectory association. In addition, GRFT is a parameter estimation technique with robustness at low SNR. The 3-D image of the target is obtained using the factorization method. Simulation results prove the effectiveness of the proposed method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
