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Research Article

A reweighted alternating direction method of multipliers for joint phase adjustment and ISAR imaging

, , ORCID Icon, &
Pages 1020-1028 | Received 28 Feb 2022, Accepted 28 Aug 2022, Published online: 11 Sep 2022

References

  • Duan, H. P., L. Z. Zhang, J. Fang, L. Huang, and H. B. Li. 2015. “Pattern-Coupled Sparse Bayesian Learning for Inverse Synthetic Aperture Radar Imaging.” IEEE Signal Processing Letters 22 (11): 1995–1999. doi:10.1109/LSP.2015.2452412.
  • Hashempour, H. R. 2020. “Sparsity-Driven ISAR Imaging Based on Two-Dimensional ADMM.” IEEE Sensors Journal 20 (22): 13349–13356. doi:10.1109/JSEN.2020.3006105.
  • Hou, Q. K., L. J. Fan, S. Y. Su, and Z. P. Chen. 2015. “Compensation of Phase Errors for Compressed Sensing Based ISAR Imagery Using Inadequate Pulses.” Progress in Electromagnetics Research M 41: 125–138. doi:10.1109/JSEN.2018.2869832.
  • Hu, X. W., N. N. Tong, S. S. Ding, X. Y. He, and X. R. Zhao. 2016. “ISAR Imaging with Sparse Stepped Frequency Waveforms via Matrix Completion.” Remote Sensing Letters 7 (9): 847–854. doi:10.1080/2150704X.2016.1192699.
  • Li, R. Z., S. H. Zhang, C. Zhang, Y. X. Liu, and X. Li. 2021. “Deep Learning Approach for Sparse Aperture ISAR Imaging and Autofocusing Based on Complex-Valued ADMM-Net.” IEEE Sensors Journal 21 (3): 3437–3451. doi:10.1109/JSEN.2020.3025053.
  • Li, R. Z., S. H. Zhang, C. Zhang, Y. X. Liu, and X. Li. 2022. “A Computational Efficient 2-D Block-Sparse ISAR Imaging Method Based on PCSBL-GAMP-Net.” IEEE Transactions on Geoscience and Remote Sensing 60: 5214814. doi:10.1109/TGRS.2021.3111901.
  • Liu, Q. C., and Y. Wang. 2019. “A Fast Eigenvector-Based Autofocus Method for Sparse Aperture ISAR Sensors Imaging of Moving Target.” IEEE Sensors Journal 19 (4): 1307–1319. doi:10.1109/JSEN.2018.2880899.
  • Lv, M. J., W. F. Chen, J. C. Ma, J. Yang, and X. Y. Ma. 2021. “A Gridless Sparse ISAR Imaging Method Using Atomic Norm Minimization Based on Multiple Measurement Vectors.” Remote Sensing Letters 12 (6): 604–613. doi:10.1080/2150704X.2021.1906976.
  • Lv, Y. K., Y. P. Wang, Y. H. Wu, H. Y. Wang, L. Qiu, H. Z. Zhao, and Y. Sun. 2018. “A Novel Inverse Synthetic Aperture Radar Imaging Method for Maneuvering Targets Based on Modified Chirp Fourier Transform.” Applied Sciences 8 (12): 2443. doi:10.3390/app8122443.
  • Onhon, N. Ö., and M. Cetin. 2012. “A Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction.” IEEE Transactions on Image Processing 21 (4): 2075–2088. doi:10.1109/TIP.2011.2179056.
  • Tropp, J. A., and A. C. Gilbert. 2007. “Signal Recovery from Random Measurements via Orthogonal Matching Pursuit.” IEEE Transactions on Information Theory 53 (12): 4655–4666. doi:10.1109/TIT.2007.909108.
  • Wang, L., T. Y. Huang, and Y. M. Liu. 2019. “Phase Compensation and Image Autofocusing for Randomized Stepped Frequency ISAR.” IEEE Sensors Journal 19 (10): 3784–3796. doi:10.1109/JSEN.2019.2897014.
  • Wei, J. Q., S. Shao, H. Ma, P. H. Wang, L. Zhang, and H. W. Liu. 2020. “High-Resolution ISAR Imaging with Modified Joint Range Spatial-Variant Autofocus and Azimuth Scaling.” Sensors 20: 5047. doi:10.3390/s20185047.
  • Wei, X., J. Yang, M. J. Lv, W. F. Chen, and X. Y. Ma. 2021. “Two-Dimensional Reweighted Alternating Direction Method of Multipliers for Inverse Synthetic Aperture Radar Imaging with Pattern-Coupled Sparse Structure.” Journal of Applied Remote Sensing 15 (4): 044518. doi:10.1117/1.JRS.15.044518.
  • Zhang, S. H., Y. X. Liu, and X. Li. 2017. “Autofocusing for Sparse Aperture ISAR Imaging Based on Joint Constraint of Sparsity and Minimum Entropy.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (3): 998–1011. doi:10.1109/JSTARS.2016.2598880.
  • Zhang, S. H., Y. X. Liu, and X. Li. 2020. “Fast Sparse Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse Bayesian Learning.” IEEE Transactions on Image Processing 29: 3213–3226. doi:10.1109/TIP.2019.2957939.
  • Zhu, D. Y., L. Wang, Y. S. Yu, Q. N. Tao, and Z. D. Zhu. 2009. “Robust ISAR Range Alignment via Minimizing the Entropy of the Average Range Pro?le.” IEEE Geoscience and Remote Sensing Letters 6 (2): 204–208. doi:10.1109/LGRS.2008.2010562.

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