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Maneuvering target detection method based on Keystone transform and Radon local mapping sparse-modified Lv’s Distribution

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Abstract

This paper focuses on the range migration (RM) and Doppler frequency migration (DFM) problems, which are commonly faced in radar maneuvering target detection during the long-time integration. Considering the sparsity of target echo in the chirp rate (CR)-quadratic CR (QCR) domain, a novel coherent integration method is presented to realize the maneuvering target detection. The proposed method firstly conducts Keystone transform (KT) to remove the linear RM with respect to the target’s velocity and then performs Radon local mapping sparse-modified Lv’s distribution (RLMSMLVD) to eliminate the residual RM and DFM, thereby focusing the target in the sparse CR-QCR domain. Thanks to the adoption of two-dimensional (2-D) sparse Fourier transform (SFT), the proposed method can obtain a lower computational cost than the 2-D fast Fourier transform (FFT)-based implementation. Moreover, the local coordinates mapping is conducted in 2-D SFT to further increase the operation speed. Experimental results are given to demonstrate the high efficiency and effectiveness of the proposed method.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 62001229, Grant 62101260 and Grant 62101264.

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Authors and Affiliations

  1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China

    Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang & Xingyu Lu

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  1. Wenchao Yu
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  3. Hong Gu
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Yu, W., Su, W., Gu, H. et al. Maneuvering target detection method based on Keystone transform and Radon local mapping sparse-modified Lv’s Distribution. SIViP 17, 2771–2778 (2023). https://doi.org/10.1007/s11760-023-02494-2

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