文件名称:Non-Iterative-Spotlight-SAR-Autofocusing-Using-A-
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- 图形图像处理(光照,映射..)
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- 2012-11-26
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Phase-Gradient autofocus (PGA) technique is
robust over a wide range of imagery and phase error
functions but the convergence usually requires 4-6
iterations. In this paper, we propose to speed up the
estimation convergence by selectively increasing the pool of
quality synchronisation sources and not to be limited by the
range pixels of the SAR map. This is highly probable since
each range bin contains more than 1 prominent scatterers
across the integration aperture. It is also highly probable
that the least brightest selected scatterer in a range gate may
turn out to be of higher energy as compared to the
maximum brightest scatterer of another gate. With
appropriate target filtering to final select the quality
scatterers out of the large pool and higher-order phase error
measurement tool, the new algorithm achieves near
convergence quality without iteration. We named this
solution the Quality PGA algorithm (QPGA).
robust over a wide range of imagery and phase error
functions but the convergence usually requires 4-6
iterations. In this paper, we propose to speed up the
estimation convergence by selectively increasing the pool of
quality synchronisation sources and not to be limited by the
range pixels of the SAR map. This is highly probable since
each range bin contains more than 1 prominent scatterers
across the integration aperture. It is also highly probable
that the least brightest selected scatterer in a range gate may
turn out to be of higher energy as compared to the
maximum brightest scatterer of another gate. With
appropriate target filtering to final select the quality
scatterers out of the large pool and higher-order phase error
measurement tool, the new algorithm achieves near
convergence quality without iteration. We named this
solution the Quality PGA algorithm (QPGA).
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Non-Iterative Spotlight SAR Autofocusing Using A Modified Phase-Gradient Approach.pdf