Polarimetric inverse synthetic aperture radar (pol-ISAR) imaging exploits extra scattering information about a target compared with single pol-ISAR. Target description and classification can be improved by incorporating pol-ISAR images. One of the most critical problems in ISAR imaging is accurate motion compensation, specifically for noncooperative targets. Due to the imperfection of coarse motion compensation, phase-adjustment methods are further developed to eliminate the residual phase errors. Unlike taking the contrast or entropy as the measurements in the existing pol-ISAR phase-adjustment algorithms, this paper exploits the sparsity of the scattering centers to correct the phase errors and simultaneously proposes an unambiguous image formation with the sparse aperture signal. The superiority of this algorithm is that the global information of full pol-ISAR images can be properly incorporated to compensate the phase errors and suppress the noise effectively. Experimental results indicate the effectiveness of the proposed method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Phase adjustment for polarimetric ISAR with compressive sensing


    Contributors:
    Min Wu, (author) / Lei Zhang, (author) / Xiang-Gen Xia, (author) / Meng-Dao Xing, (author)


    Publication date :

    2016-08-01


    Size :

    2073208 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Clutter Suppression in Passive ISAR Using Compressive Sensing

    Azimifar, Morteza / Sebt, Mohammad Ali | IEEE | 2024


    Multilook Polarimetric 3-D Interferometric ISAR Imaging

    Park, James / Raj, Raghu G. / Martorella, Marco et al. | IEEE | 2022


    Compressive sensing–based algorithm for passive bistatic ISAR with DVB-T signals

    Wei Qiu, / Giusti, Elisa / Bacci, Alessio et al. | IEEE | 2015


    Target Recognition by Means of Polarimetric ISAR Images

    Martorella, M / Giusti, E / Demi, L et al. | IEEE | 2011


    Exploiting Channel Crosstalk for Polarimetric SAR Compressive Sensing

    Jackson, Julie Ann / Lee-Elkin, Forest | IEEE | 2020