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.

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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
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Long-Time Coherent Integration for High Maneuvering Weak Target Detection Based on SoKT-NuFFT

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IEEE Geoscience and Remote Sensing Letters
Advanced Optical Sensing Technologies
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article

Long-Time Coherent Integration for High Maneuvering Weak Target Detection Based on SoKT-NuFFT

Junli Chen, Peili Xi, Penghui Huang, Lang Xia, Xiang‐Gen Xia, Xiangcheng Wan, Jiaqi Wang
article en
3 citations

Abstract

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.

IEEE Geoscience and Remote Sensing LettersVol. 22
Shanghai Jiao Tong University (CN), Shanghai Micro Satellite Engineering Center (CN), Shanghai Academy of Spaceflight Technology (CN), University of Delaware (US)
Openalex Percentile: Top 8%
Advanced Optical Sensing Technologies
3.58
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