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Microwave imaging, or synthetic aperture radar (SAR) shows its remarkable importances in various fields of remote sensing. Modern SAR system usually comes with high imaging resolution and wide mapping swath. This brings difficulties to the future development of SAR system. As a solution, the concept of SAR imaging under sparse constraint, or sparse microwave imaging radar is suggested, which is mainly...
We propose a method based on the phase diagram tool to evaluate the sparse microwave imaging radar system. In the method, success rates of signal recovery are derived from the statistics of relative errors between the targets and the recovered signals. Success rates for each combination of SNR, sparsity and sampling ratio are provided to form a three-dimensional phase diagram. We demonstrate that...
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