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Inventi Impact: Signal Processing

Articles

  • Inventi:esp/15877/15
    Compressive Sensing Imaging for General Synthetic Aperture Radar Echo Model Based on Maxwellâ??s\nEquations
    01-Jan-1970 Research 2015 : April - June
    Bing Sun, Yufeng Cao, Jie Chen, Chunsheng Li, Zhijun Qiao

    A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the\nscalar form of Maxwell�s equations. After analyzing the relationship between the general echo model in frequency\ndomain and the existing model in time domain, a compressive sensing (CS) matrix is constructed from random partial\nFourier matrices for processing the range CS SAR imaging. Simulations validate the orthogonality of the proposed CS\nmatrix and the feasibility of CS SAR imaging based on the general echo model.

    How to Cite this Article
    doi:10.1186/1687-6180-2014-153\nCite this article as: Sun et al.: Compressive sensing imaging for general\nsynthetic aperture radar echo model based on Maxwellâ??s equations.\nEURASIP Journal on Advances in Signal Processing 2014 2014:153.\nCC Compliant Citation: Sun et al.: Compressive sensing imaging\nfor general synthetic aperture radar echo model based on\nMaxwell's equations. EURASIP Journal on Advances in Signal\nProcessing 2014 2014:153, doi:10.1186/1687-6180-2014-153,\n(http://creativecommons.org/licenses/by/4.0).
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