Long-Time Coherent Integration for High Maneuvering Weak Target Detection Based on SoKT-NuFFT
This letter proposes a coherent integration approach for weak target detection with constant radial jerk in a low signal-to-noise (SNR) environment. In the proposed approach, the second-order Keystone transform (SoKT) is first employed to correct the quadratic range migration (QRM) induced by the radial acceleration of a target. Next, a velocity-jerk matched filter is constructed to eliminate the residual target radial velocity and jerk terms. Finally, the coherent integration is achieved through non-uniform fast Fourier transform (NuFFT) along the slow time. Compared with the conventional methods, the proposed approach can obtain comparable accumulation performance with a lower computational complexity. Simulation and real-measurement experiments are conducted to demonstrate the effectiveness and reliability of the proposed approach in low SNR environments.
Authors
- Junli Chen (ORCID: https://orcid.org/0000-0002-3858-4844)
- Peili Xi
- Penghui Huang (ORCID: https://orcid.org/0000-0002-9153-2111)
- Lang Xia (ORCID: https://orcid.org/0009-0003-7910-7950)
- Xiang‐Gen Xia (ORCID: https://orcid.org/0000-0002-5599-7683)
- Xiangcheng Wan
- Jiaqi Wang (ORCID: https://orcid.org/0000-0002-8523-3975)
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai Micro Satellite Engineering Center (CN)
- Shanghai Academy of Spaceflight Technology (CN)
- University of Delaware (US)
Publication Details
- Journal
- IEEE Geoscience and Remote Sensing Letters
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/lgrs.2025.3557015
- Citations
- 3
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 3.58