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Spatial-variant contrast maximization autofocus algorithm for ISAR imaging of maneuvering targets

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References

  1. Liu L, Qi M S, Zhou F. A novel non-uniform rotational motion estimation and compensation method for maneuvering targets ISAR imaging utilizing particle swarm optimization. IEEE Sens J, 2018, 18: 299–309

    Article  Google Scholar 

  2. Li Y, Xing M, Su J, et al. A new algorithm of ISAR imaging for maneuvering targets with low SNR. IEEE Trans Aerosp Electron Syst, 2013, 49: 543–557

    Article  Google Scholar 

  3. Ye W, Yeo T S, Bao Z. Weighted least-squares estimation of phase errors for SAR/ISAR autofocus. IEEE Trans Geosci Remote Sens, 1999, 37: 2487–2494

    Article  Google Scholar 

  4. Kolman J. PACE: an autofocus algorithm for SAR. In: Proceedings of IEEE International Radar Conference, Arlington, 2005. 310–314

    Google Scholar 

  5. Li J, Wu R, Chen V C. Robust autofocus algorithm for ISAR imaging of moving targets. IEEE Trans Aerosp Electron Syst, 2001, 37: 1056–1069

    Article  Google Scholar 

  6. Ran L, Liu Z, Zhang L, et al. An autofocus algorithm for estimating residual trajectory deviations in synthetic aperture radar. IEEE Trans Geosci Remote Sens, 2017, 55: 3408–3425

    Article  Google Scholar 

  7. Yin J, Wang L, Jiang X. A modified PRP conjugate gradient method with Armijo line search for large-scale unconstrained optimization. In: Proceedings of Control Conference, Dalian, 2017. 2568–2571

    Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61771372, 61771367), National Science Foundation for Distinguished Young Scholars (Grant No. 61525105), and Fund for Foreign Scholars in University Research and Teaching Programs (the 111 Project) (Grant No. B18039).

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Authors and Affiliations

  1. National Lab of Radar Signal Processing, Xidian University, Xi’an, 710071, China

    Shuai Shao, Lei Zhang, Hongwei Liu & Yejian Zhou

  2. Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an, 710071, China

    Shuai Shao, Lei Zhang, Hongwei Liu & Yejian Zhou

Authors
  1. Shuai Shao
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  2. Lei Zhang
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  3. Hongwei Liu
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  4. Yejian Zhou
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Correspondence to Lei Zhang.

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Shao, S., Zhang, L., Liu, H. et al. Spatial-variant contrast maximization autofocus algorithm for ISAR imaging of maneuvering targets. Sci. China Inf. Sci. 62, 40303 (2019). https://doi.org/10.1007/s11432-018-9707-2

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  • DOI: https://doi.org/10.1007/s11432-018-9707-2

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