SAR Raw Data Simulation for Ocean Scenes Using Inverse Omega-K Algorithm
SAR Raw Data Simulation for Ocean Scenes Using Inverse Omega-K Algorithm
复制标题
使用逆 Omega-K 算法对海洋场景进行 SAR 原始数据模拟
DOI：
10.1109/tgrs.2016.2582525
复制
发表时间：
2016-07
影响因子：
8.2
通讯作者：
He Yijun
中科院分区：
文献类型：
--
作者：
Liu Baochang;He Yijun
本文研究了合成孔径雷达(SAR)原始数据模拟海面波和海流的方法，这是为未来的海洋SAR任务做准备所必需的问题。将原设计用于静止陆地场景的SAR原始数据模拟的逆Omega-K(IOK)算法推广到海洋场景。为了实现这一概括，我们从两个方面进行了努力。首先，针对海浪和海流的海洋动力学，推导了合成孔径雷达信号的二维谱。其次，为了考虑海面运动参数的空间变化，我们采用了一种称为批处理的策略，其基本特点是通过一次IOK算法的实现，可以同时模拟具有相同径向速度的一组海面后向散射单元。对于该模拟器，速度聚束效应是通过使长波径向轨道速度物理地进入合成孔径雷达原始信号的距离方程来体现的，而不是将这种效应叠加到反射率图上。在一个分辨率单元内小面速度的传播通过局部长波轨道速度的随机扰动进入原始数据。该模拟器不仅具有较高的精度，因为在推导距离频率映射函数时，不需要对距离方程进行泰勒展开，而且比它的时域模拟器有更高的效率。仿真结果验证了该仿真器的有效性。
This paper deals with synthetic aperture radar (SAR) raw data simulation for ocean scenes featuring surface waves and currents, an issue which has proven to be of great necessity in preparing for future oceanic SAR missions. In this paper, the inverse Omega-K (IOK) algorithm, which is originally designed for SAR raw data simulation of stationary land scenes, is extended to ocean scenes. To realize such a generalization, endeavors are made in two aspects. First, specially aimed at ocean dynamics of ocean waves and currents, the 2-D spectrum of the SAR signal is derived. Second, to account for the spatial variation of ocean-motion parameters, we adopt a strategy called batch processing, whose basic feature is that a single implementation of the IOK algorithm will simultaneously simulate a collection of ocean-surface backscattering elements that have the same radial velocity. For the proposed simulator, the velocity bunching effect is embodied via making the long-wave radial orbital velocities physically enter the range equation of the SAR raw signal, instead of superimposing this effect onto the reflectivity map. The spread of the facet velocities within one resolution cell enters the raw data through a random perturbation of the local long-wave orbital velocity. The proposed simulator is not only rather accurate due to the fact that, in deriving the range frequency mapping function, no Taylor expansion is made on the range equation, but also much more efficient than its time-domain counterpart. Effectiveness of the proposed simulator is validated by using simulation results.
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DOI：
--
发表时间：
2002
期刊：
2009 IEEE International Geoscience and Remote Sensing Symposium
影响因子：
--
作者：
R. Speck;M. Hager;M. García;Helmut Süß
通讯作者：
R. Speck;M. Hager;M. García;Helmut Süß
影响因子：
4.4
作者：
MADSEN, SN
通讯作者：
MADSEN, SN
影响因子：
20.6
作者：
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通讯作者：
Esteban-Fernandez, Daniel
影响因子：
4.8
作者：
O. Dogan;M. Kartal
通讯作者：
O. Dogan;M. Kartal
DOI：
10.1109/icr.2006.343302
发表时间：
2006-10
期刊：
2006 CIE International Conference on Radar
影响因子：
--
作者：
Shun-sheng Zhang;T. Long;T. Zeng;Juan Chen
通讯作者：
Shun-sheng Zhang;T. Long;T. Zeng;Juan Chen