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Multidimensional Motion Parameters' Estimation for Multi-SAR System Using the Cubic Phase
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DOI：10.1109/TGRS.2018.2794585.png)
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Abstract
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In this paper, the motion parameters' estimation problem in synthetic aperture radar (SAR) imaging is extended to the multidimensional case, and the azimuth signal of a moving target with velocities and accelerations in three directions is modeled as a polynomial-phase signal (PPS). To estimate the multidimensional motion parameters of the moving target from the azimuth PPS, a multi-SAR system is required. On this basis, a new method based on the cubic phase function (CPF) is proposed to estimate the Doppler phase coefficients (DPCs) of the PPS. And, all the first-and second-order motion terms can be derived from the DPC. Experimental results have shown that, using the proposed scheme, the motion parameters can be accurately estimated in high signal-to-noise ratio scenarios.
Keywords:
Cubic phase function (CPF)
motion parameters' estimation
polynomial-phase signal (PPS)
synthetic aperture radar (SAR)
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