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Multidimensional Motion Parameters’ Estimation for Multi-SAR System Using the Cubic Phase Function.
- Source :
-
IEEE Transactions on Geoscience & Remote Sensing . Jun2018, Vol. 56 Issue 6, p3210-3221. 12p. - Publication Year :
- 2018
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 56
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 129949367
- Full Text :
- https://doi.org/10.1109/TGRS.2018.2794585