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Moving Target Azimuth Velocity Estimation for the MASA Mode Based on Sequential SAR Images

机译:基于序列saR图像的masa模式运动目标方位角速度估计

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摘要

A novel azimuth velocity estimation method is proposed based on the multiple azimuth squint angles (MASA) imaging mode, acquiring sequential synthetic aperture radar images with different squint angles and time lags. The MASA mode acquisition geometry is given first, and the effect of target motion on azimuth offset and slant range offset is discussed in detail. Then, the azimuth velocity estimation accuracy is analyzed, considering the errors caused by registration, defocusing, and range velocity. Moreover, the interaction between target azimuth velocity and range velocity is studied for a better understanding of the azimuth velocity estimation error caused by the range velocity. With the proposed error compensation step, the new method can achieve a very high accuracy in azimuth velocity estimation, as verified by experimental results based on both simulated data and the TerraSAR-X data.
机译:提出了一种基于多方位斜视角(MASA)成像模式的新型方位角速度估计方法,获取了具有不同斜视角和时滞的连续合成孔径雷达图像。首先给出了MASA模式获取的几何形状,并详细讨论了目标运动对方位角偏移和倾斜范围偏移的影响。然后,考虑由对准,散焦和测距速度引起的误差,分析方位速度估计精度。此外,研究了目标方位角速度和测距速度之间的相互作用,以更好地理解由测距速度引起的方位角速度估计误差。通过建议的误差补偿步骤,该新方法可以在方位角速度估计中实现非常高的精度,这是基于模拟数据和TerraSAR-X数据的实验结果所证实的。

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