Compressive sensing for a general SAR imaging model based on Maxwell’s equations

A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the scalar form of Maxwell's equations. After the consideration of the general echo model in frequency domain, a compressive sensing (CS) matrix is constructed from random partial Fourier matrices for processing the range CS SAR imaging. Simulations validate the orthogonality of the proposed CS matrix and the CS SAR imaging based on the general echo model.

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