Skip to main content
SpringerLink
Log in

2D Superresolution ISAR Imaging via Temporally Correlated Multiple Sparse Bayesian Learning

  • Research Article
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

In inverse synthetic aperture radar (ISAR) imaging, the image resolution is always limited by the bandwidth and the observation time. Sparse recovery (SR) is recently proposed to improve the range resolution or cross-range resolution effectively. However, for the two dimensional superresolution case, a SR-induced range cell migration (RCM) occurs among the High-Resolution Range Profiles (HRRPs) and definitely degrades the ISAR image. After that translational motion compensation is completed, the common sparsity of HRRPs is exploited to suppress the RCM in this paper. Furthermore, by taking the temporal correlation of HRRPs into account, an ISAR imaging method based on temporally correlated Multiple Sparse Bayesian Learning is proposed to improve the imaging quality. Simulated data and real data results demonstrate the effectiveness of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Chi, Y., Scharf, L., Pezeshki, A., & Calderbank, A. R. (2011). Sensitivity to basis mismatch in compressed sensing. IEEE Transactions on Signal Processing, 59(5), 2182–2195.

    Article  Google Scholar 

  • Cotter, S., Rao, B., Engan, K., & Kreutz-Delgado, K. (2005). Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Transactions on Signal Processing, 53(7), 2477–2488.

    Article  Google Scholar 

  • Gao, X., Liu, Z., Chen, H., & Li, X. (2015). Fourier-sparsity integrated method for complex target ISAR imagery. Sensors, 15(2), 2723–2736.

    Article  Google Scholar 

  • Liu, H., Jiu, B., & Liu, H. (2014). Superresolution ISAR imaging based on sparse bayesian learning. IEEE Transactions on Geoscience and Remote Sensing, 52(8), 5005–5013.

    Article  Google Scholar 

  • Wang, H., Quan, Y., & Xing, M. (2011). ISAR imaging via sparse probing frequency. IEEE Geoscience and Remote Sensing Letters, 8(3), 451–455.

    Article  Google Scholar 

  • Wang, X., Zhang, M., & Zhao, J. (2015). Super-resolution ISAR imaging via 2D unitary ESPRIT. Electronics Letters, 51(6), 519–521.

    Article  Google Scholar 

  • Wipf, D. P., & Rao, B. D. (2004). Sparse Bayesian learning for basis selection. IEEE Transactions on Signal Processing, 52(8), 2153–2164.

    Article  Google Scholar 

  • Xu, G., Xing, M., & Zhang, L. (2011). Bayesian inverse synthetic aperture radar imaging. IEEE Geoscience and Remote Sensing Letters, 8(6), 1150–1154.

    Article  Google Scholar 

  • Zhang, L., Qiao, Z., & Xing, M. (2011). High-resolution ISAR imaging with sparse stepped-frequency waveforms. IEEE Transactions on Geoscience and Remote Sensing, 49(11), 4630–4651.

    Article  Google Scholar 

  • Zhang, Z., & Rao, B. (2011). Sparse signal recovery with temporally correlated source vectors using sparse Bayesian learning. IEEE Journal of Selected Topics in Signal Processing, 5(5), 912–926.

    Article  Google Scholar 

  • Zhu, F., Zhang, Q., & Lei, Q. (2011). Reconstruction of moving target’s HRRP using sparse frequency-stepped chirp signal. IEEE Sensors Journal, 11(10), 2327–2334.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 61701526, 61372166, 61571459).

Author information

Authors and Affiliations

  1. Air Force Engineering University, Xi’an, 710051, China

    Xiaowei Hu, Ningning Tong, Xingyu He & Yuchen Wang

Authors
  1. Xiaowei Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ningning Tong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xingyu He
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuchen Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaowei Hu.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, X., Tong, N., He, X. et al. 2D Superresolution ISAR Imaging via Temporally Correlated Multiple Sparse Bayesian Learning. J Indian Soc Remote Sens 46, 387–393 (2018). https://doi.org/10.1007/s12524-017-0709-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-017-0709-3

Keywords

Search

Navigation