• Acta Optica Sinica
  • Vol. 37, Issue 11, 1111003 (2017)
Le Kang1、2、*, Qun Zhang1、2、3, Yichang Chen1、2, and Qiyong Liu1、2
Author Affiliations
  • 1 College of Information and Navigation, Air Force Engineering University, Xi'an, Shaanxi 710077, China
  • 2 Collaborative Innovation Center of Information Sensing and Understanding, Xi'an, Shaanxi 710077, China
  • 3 Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China
  • show less
    DOI: 10.3788/AOS201737.1111003 Cite this Article Set citation alerts
    Le Kang, Qun Zhang, Yichang Chen, Qiyong Liu. Imaging Method of Downward-Looking 3D Synthetic Aperture Radar Based on Multiple Measurement Vectors Model[J]. Acta Optica Sinica, 2017, 37(11): 1111003 Copy Citation Text show less
    References

    [1] Klare J, Cerutti-Maori D, Brenner A et al. Image quality analysis of the vibrating sparse MIMO antenna array of the airborne 3D imaging radar ARTINO[C]. Proceedings of IEEE International Symposium on Geoscience and Remote Sensing Symposium, 5310-5314(2007).

    [2] Zhang D H, Zhang X L. Downward-looking 3D linear array SAR imaging based on chirp scaling algorithm[C]. Proceedings of the 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar, 1043-1046(2009).

    [3] Peng X M, Hong W, Wang Y P et al. Polar format imaging algorithm with wave-front curvature phase error compensation for airborne DLSLA three-dimensional SAR[J]. IEEE Geoscience & Remote Sensing Letters, 11, 1036-1040(2014). http://ieeexplore.ieee.org/document/6680630/

    [4] Donoho D. Compressed sensing[J]. IEEE Transactions on Information Theory, 52, 1289-1306(2006).

    [5] Weng Jiawen, Tan Suiyan. Imaging resolution of self-interference incoherent digital holographic system[J]. Chinese J Lasers, 43, 0609006(2016).

    [6] Huang Zhijuan, Tang Chaoying, Chen Yueting et al. Remote sensing image reconstruction method based on non-local similarity and low rank matrix[J]. Acta Optica Sinica, 36, 0611002(2016).

    [7] Li Xueshi, Sun Guangcai, Xu Gang et al. A new method of downward-looking 3D-SAR based on compressed sensing[J]. Jounal of Electronics & Information Technology, 34, 1017-1023(2012).

    [8] Bao Q, Han K Y, Lin Y et al. Imaging method for downward-looking sparse linear array three-dimensional synthetic aperture radar based on reweighted atomic norm[J]. Journal of Applied Remote Sensing, 10, 015008(2016). http://spie.org/Publications/Journal/10.1117/1.JRS.10.015008

    [9] Bao Q, Jiang C L, Lin Y et al. Measurement matrix optimization and mismatch problem compensation for DLSLA 3D SAR cross-track reconstruction[J]. Sensors, 16, 1333(2016). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017497/

    [10] Tian H, Li D J. Sparse flight array SAR downward-looking 3-D imaging based on compressed sensing[J]. IEEE Geoscience and Remote Sensing Letters, 13, 1395-1399(2016). http://ieeexplore.ieee.org/document/7527659/

    [11] Zhang S Q, Zhu Y T, Kuang G Y et al. Analytic estimation performance bounds of downward-looking linear array 3D SAR imaging based on compressive sensing[C]. Proceedings of IEEE Geoscience and Remote Sensing Symposium, 3179-3182(2015).

    [12] Zhang S Q, Zhu Y T, Dong G G et al. Truncated SVD-based compressive sensing for downward-looking three-dimensional SAR imaging with uniform/nonuniform linear array[J]. IEEE Geoscience & Remote Sensing Letters, 12, 1853-1857(2015). http://ieeexplore.ieee.org/document/7111273/

    [13] Chen J, Huo X M. Theoretical results on sparse representations of multiple-measurement vectors[J]. IEEE Transactions on Signal Processing, 54, 4634-4643(2006). http://ieeexplore.ieee.org/document/4014378

    [14] Li Shaodong, Chen Wenfeng, Yang Jun et al. Fast OMP algorithm based on bayesian test for multiple measurement vectors model[J]. Jounal of Electronics & Information Technology, 38, 1731-1737(2016).

    [15] Blanchard J D, Cermark M, Hanle D et al. Greedy algorithms for joint sparse recovery[J]. IEEE Transactions on Signal Processing, 62, 1694-1704(2014). http://ieeexplore.ieee.org/document/6719509/

    [16] Li Shaodong, Yang Jun, Chen Wenfeng et al. Overview of radar imaging technique and application based on compressive sensing theory[J]. Jounal of Electronics & Information Technology, 38, 495-508(2016).

    [17] Schmitt M, Stilla U. Compressive sensing based layover separation in airborne single-pass multi-baseline InSAR[J]. IEEE Geoscience and Remote Sensing Letters, 10, 313-317(2013). http://ieeexplore.ieee.org/document/6247464/

    [18] Barranca V J, Kovacic G, Zhou D et al. Improved compressive sensing of natural scenes using localized random sampling[J]. Scientific Reports, 6, 31976(2016). http://europepmc.org/articles/PMC4995494/

    [19] Wang Qi, Ma Lingling, Li Chuanrong et al. Improved method of dictionary atom selection in compressive sensing spectral reconstruction[J]. Acta Optica Sinica, 36, 0930002(2016).

    [20] Pilatri A L. Tavares J M R S. Reconstruction algorithms in compressive sensing: an overview[C]. Edition of the Doctoral Symposium in Informatics Engineering, 127-137(2016).

    [21] Zhou J X, Zhao H Z, Sri Z G et al. Analytic performance bounds on estimates of scattering center parameters[J]. IEEE Transacitions on Aerospace and Electronic Systems, 43, 813-826(2007). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=4285375

    Le Kang, Qun Zhang, Yichang Chen, Qiyong Liu. Imaging Method of Downward-Looking 3D Synthetic Aperture Radar Based on Multiple Measurement Vectors Model[J]. Acta Optica Sinica, 2017, 37(11): 1111003
    Download Citation