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Joint estimation of moving target reflectivity and velocity via AT-InSAR systems based on complex interferometric data

机译:基于复杂干涉数据的AT-InSAR系统联合估计运动目标的反射率和速度

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摘要

In this paper a technique for the joint estimation of the complex reflectivity and of the radial velocity of ground moving targets, by means of Along-Track Interferometric Synthetic Aperture Radar (AT-InSAR) systems, is presented. It is essentially based on statistical estimation techniques and exploits the complex interferometric SAR images, contrarily to other conventional AT-InSAR methods, which estimate the target radial velocity exploiting only the interferometric phases. The performances of the method are evaluated both for single baseline and for dual-baseline satellite systems, in terms of Cramer Rao Lower Bounds and of Root Mean Square Errors obtained in numerical experiments, with reference to all the target parameters to be estimated, which are the amplitude and phase of the target reflectivity and the target radial velocity. It is shown that for single baseline systems the obtained radial velocity estimation accuracy is comparable with the one achievable with AT-InSAR methods exploiting phase-only data, and is very high for high values of signal to clutter ratio. For dual-baseline systems, instead, the use of amplitude and phase data allows a performance significantly better than the one achievable exploiting phase-only data. Moreover, in the dual baseline case, high velocity estimation accuracy can be obtained also with lower signal to clutter ratios.
机译:本文提出了一种利用沿轨道干涉合成孔径雷达(AT-InSAR)系统联合估算地面移动目标的反射率和径向速度的技术。它本质上是基于统计估计技术,并且与其他传统的AT-InSAR方法相反,后者利用复杂的干涉SAR图像,后者仅利用干涉相位来估计目标径向速度。根据在数值实验中获得的Cramer Rao下界和均方根误差,参照所有要估算的目标参数,评估了该方法在单基线和双基线卫星系统上的性能。目标反射率和目标径向速度的幅度和相位。结果表明,对于单基线系统,所获得的径向速度估计精度与利用仅相位数据的AT-InSAR方法可获得的径向速度估计精度相当,并且对于高信噪比值而言非常高。相反,对于双基线系统,使用幅度和相位数据可以使性能大大优于仅利用相位数据可以实现的性能。而且,在双基线情况下,也可以以较低的信噪比获得高速估计精度。

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