A ship ISAR imaging algorithm based on generalized radon-fourier transform with low SNR

Zegang Ding, Tianyi Zhang*, Yong Li, Gen Li, Xichao Dong, Tao Zeng, Meng Ke

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)

Abstract

Existing ship inverse synthetic aperture radar (ISAR) imaging algorithms are not applicable, when the signal-to-noise ratio (SNR) is low, for the translational motion that cannot be well compensated by existing algorithms. To achieve ship ISAR imaging with low SNR, a ship ISAR imaging algorithm based on the generalized radon-Fourier transform (GRFT) is proposed in this paper. Considering not only the rotational motion but also the translational motion between the radar and the ship, the proposed algorithm uses the GRFT to simultaneously compensate the time-variant range envelopes and the Doppler phase. Thus, the signal coherence is fully utilized, and the coherent integration of the ship's multicomponent echo signal is realized. Subsequently, to overcome the problem of the heavy computational load and improve the efficiency of the proposed algorithm, the scheme of cascaded GRFTs that consists of the coarse GRFT and the subsequent fine GRFT is adopted. The coarse GRFT with large search ranges and intervals is aimed at obtaining the real ranges of ship scatter points' motion parameters. Based on the coarse GRFT result, the fine GRFT with small search ranges and intervals is performed to efficiently obtain the coherent integration result. Then, based on the coherent integration result, the constant false alarm rate (CFAR) detection is performed to obtain the desired scatter points and their amplitudes and motion parameters, and the multicomponent signal is reconstructed. Finally, based on the reconstructed multicomponent signal, the high-quality instantaneous ship ISAR image can be obtained. Computer simulations and experiment results validate the effectiveness of the proposed algorithm.

Original languageEnglish
Article number8691556
Pages (from-to)6385-6396
Number of pages12
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume57
Issue number9
DOIs
Publication statusPublished - Sept 2019

Keywords

  • Generalized radon-Fourier transform (GRFT)
  • inverse synthetic aperture radar (ISAR) imaging
  • low signal-to-noise ratio (SNR)
  • noncooperative ship

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Ding, Z., Zhang, T., Li, Y., Li, G., Dong, X., Zeng, T., & Ke, M. (2019). A ship ISAR imaging algorithm based on generalized radon-fourier transform with low SNR. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 6385-6396. Article 8691556. https://doi.org/10.1109/TGRS.2019.2905863