Abstract
Three-dimensional (3D) imaging of space targets can provide crucial information about the target shape and size, which are significant supports for the application of automatic target classification and recognition. In this paper, a new 3D imaging of space spinning targets via a factorization method is proposed. Firstly, after the translational compensation, the scattering centers two-dimensional (2D) range and range-rate sequence induced by the target spinning is extracted using a high resolution spectral estimation technique. Secondly, measurement data association is implemented to obtain the scattering center trajectory matrix by using a range-Doppler tracker. Then, we use an initial coarse angular velocity to generate the projection matrix, which consists of the scattering centers range and cross-range, and a factorization method is applied iteratively to the projection matrix to estimate the accurate angular velocity. Finally, we use the accurate estimate spinning angular velocity to rescale the projection matrix and the well-scaled target 3D geometry is reconstructed. Compared to the previous literature methods, ambiguity in the spatial axes can be removed by this method. Simulation results have demonstrated the effectiveness and robustness of the proposed method.
Highlights
Because of its abundant information about the target’s structure and size, three-dimensional (3D)radar imaging of space targets plays a vital role in the space target recognition and classification field.Recently, the research on 3D imaging of space targets, such as space debris, ballistic targets, satellites and so on, has drawn intensive attention [1,2,3,4]
By using conventional two-dimensional (2D) inverse synthetic aperture radar (ISAR) imaging algorithms, the target echoes received by the different antennas are processed to form 2D range-Doppler (RD) images
For rapidly spinning targets, there may be migration in the range and Doppler resolution cells, which results in a smeared 2D ISAR image
Summary
Because of its abundant information about the target’s structure and size, three-dimensional (3D)radar imaging of space targets plays a vital role in the space target recognition and classification field.Recently, the research on 3D imaging of space targets, such as space debris, ballistic targets, satellites and so on, has drawn intensive attention [1,2,3,4]. By using conventional two-dimensional (2D) ISAR imaging algorithms, the target echoes received by the different antennas are processed to form 2D range-Doppler (RD) images. The height of the scattering centers is extracted via the phase difference between the 2D images. These conventional 2D imaging algorithms assume the scattering center echo signal energy can be focused in one range and the Doppler resolution cell during the imaging time [8,9]. For rapidly spinning targets, there may be migration in the range and Doppler resolution cells, which results in a smeared 2D ISAR image. How to achieve well-focused images by the conventional algorithms due to the time-varying range and Doppler information is a challenge [10]
Sign-in/Register to view highlights & summary 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.
