Journal of Systems Engineering and Electronics ›› 2026, Vol. 37 ›› Issue (2): 412-430.doi: 10.23919/JSEE.2025.000014

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles    

Joint intra-frame and inter-frame imaging algorithm for spaceborne ISAR imaging of air target

Yichen ZHOU(), Yong WANG()   

  • Received:2024-08-30 Accepted:2025-01-23 Online:2026-04-18 Published:2026-04-30
  • Contact: Yong WANG E-mail:zhouyichen@stu.hit.edu.cn;wangyong6012@hit.edu.cn
  • About author:
    ZHOU Yichen was born in 1998. He received his B.S. and M.S. degrees in the College of Underwater Acoustic Engineering from Harbin Engineering University, Harbin, China, in 2020 and 2023, respectively. He is pursuing his Ph.D. degree in information and communication engineering from Harbin Institute of Technology, Harbin, China. His research interest is inverse synthetic aperture radar imaging. E-mail: zhouyichen@stu.hit.edu.cn

    WANG Yong was born in 1979. He received his B.S. and M.S. degrees from Harbin Institute of Technology (HIT), Harbin, China, in 2002 and 2004, respectively, both in electronic engineering. He received his Ph.D. degree in information and communication engineering from HIT in 2008. He is currently a professor with the Institute of Electronic Engineering Technology in HIT. His main research interests are in the fields of time frequency analysis of nonstationary signal, radar signal processing, and their application in synthetic aperture radar (SAR) imaging. E-mail: wangyong6012@hit.edu.cn
  • Supported by:
    This work was supported by the National Science Fund for Distinguished Young Scholars (62325104).

Abstract:

The spaceborne inverse synthetic aperture radar (ISAR) has attracted significant attention due to its extensive observation range and imaging performance. However, the complex motion between spaceborne platform and the air target leads to complex signal modulation. The scattering anisotropy and occlusion lead to the scattering points missing problem. These problems pose a serious challenge to the traditional ISAR imaging algorithms. Aiming at the above problems, this paper proposes a joint intra-frame and inter-frame imaging algorithm based on spaceborne ISAR. In this algorithm, we divide the long coherent processing interval into several sub-apertures using the narrow-band tracking data, and each-order terms of the signal within sub-aperture is derived in detail. Then, the intra-frame algorithm based on the parametric minimized image entropy search is proposed to correct the spatial-variant phase errors caused by the complex relative motion. As to the well-focused images from different views and the rotation parameters obtained in sub-apertures, the inter-frame algorithm based on wavelet transform can perform image registration and image fusion to obtain more detailed target feature information and more complete target structure. In simulated and real-measured data experiments, the effectiveness and superiority of the proposed algorithm are validated.

Key words: spaceborne inverse synthetic aperture radar (ISAR), long coherent processing interval division, intra-frame complex motion compensation, inter-frame image fusion