ESTIMATING THE DOPPLER CENTROID OF SAR DATA
ESTIMATING THE DOPPLER CENTROID OF SAR DATA
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DOI：
10.1109/7.18675
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发表时间：
1989-03-01
影响因子：
4.4
通讯作者：
MADSEN, SN
中科院分区：
文献类型：
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作者：
MADSEN, SN
在回顾合成孔径雷达（SAR）数据多普勒质心频域估计技术的基础上，介绍了一种时域方法，并强调了其优点。特别是，一个非线性的时域算法称为符号多普勒估计（Doppler estimator）（Doppler estimator）具有吸引人的属性。基于现有的SEASAT处理器的评价报告。时域算法被证明是非常有效的计算和存储器的要求，因此，它们非常适合于实时系统的多普勒估计是基于原始SAR数据。对于离线处理器，其中多普勒估计是在处理后的数据上执行的，这消除了明亮目标的部分覆盖的问题，Delta E估计器和CDE（相关多普勒估计器）算法给出了类似的性能。然而，对于非均匀的场景，它被发现，非线性的多普勒频移算法，估计的基础上的数据符号单独，给出了优越的性能上级。<>
After reviewing frequency-domain techniques for estimating the Doppler centroid of synthetic-aperture radar (SAR) data, the author describes a time-domain method and highlights its advantages. In particular, a nonlinear time-domain algorithm called the sign-Doppler estimator (SDE) is shown to have attractive properties. An evaluation based on an existing SEASAT processor is reported. The time-domain algorithms are shown to be extremely efficient with respect to requirements on calculations and memory, and hence they are well suited to real-time systems where the Doppler estimation is based on raw SAR data. For offline processors where the Doppler estimation is performed on processed data, which removes the problem of partial coverage of bright targets, the Delta E estimator and the CDE (correlation Doppler estimator) algorithm give similar performance. However, for nonhomogeneous scenes it is found that the nonlinear SDE algorithm, which estimates the Doppler-shift on the basis of data signs alone, gives superior performance.<>