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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Ground-Moving Target Imaging and Velocity Estimation Based on Mismatched Compression for Bistatic Forward-Looking SAR
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Ground-Moving Target Imaging and Velocity Estimation Based on Mismatched Compression for Bistatic Forward-Looking SAR

机译:基于不匹配压缩的双站前视SAR地面目标成像和速度估计

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摘要

Bistatic forward-looking synthetic aperture radar (BFL-SAR) is a kind of bistatic SAR system that can image forward-looking terrain in the flight direction of an aircraft. Until now, BFL-SAR imaging theories and methods have been researched for stationary targets. Unlike the stationary target, the motion of a ground-moving target (GMT) induces unknown range cell migration and additional modulation of the azimuth signal. Thus, to finely image the GMT, one must obtain its velocity parameters accurately, but they are usually unknown. In this paper, a novel GMT imaging and velocity estimation method, which is based on mismatched compression, is proposed for BFL-SAR without knowledge of the GMT's velocity parameters. The main idea behind mismatched compression is to use a presumed azimuth reference function for performing correlated operation with the azimuth signal of the GMT. In general, the Doppler parameters of the presumed azimuth reference function are different from those of the GMT's azimuth signal because the velocity parameters of the GMT are unknown. Therefore, the correlation operation referred to earlier is actually mismatched compression, and the resulting image is shifted and defocused. The shifted and defocused image is utilized to get the real Doppler and velocity parameters of the GMT. The advantage of this method is that not only the GMT can be well focused but also the GMT's velocity can be simultaneously obtained. In addition, this method needs only monochannel antenna. The proposed BFL-SAR GMT imaging and velocity estimation method is validated by numerical simulations.
机译:双基地前视合成孔径雷达(BFL-SAR)是一种双基地SAR系统,可以对飞机飞行方向上的前瞻地形进行成像。迄今为止,已经研究了用于固定目标的BFL-SAR成像理论和方法。与固定目标不同,地面移动目标(GMT)的运动会引起未知范围的小区迁移和方位信号的附加调制。因此,要对GMT进行精细成像,必须准确获得其速度参数,但是通常它们是未知的。本文提出了一种基于不匹配压缩的新型GMT成像和速度估计方法,该方法不了解GMT的速度参数,而用于BFL-SAR。不匹配压缩背后的主要思想是使用假定的方位角参考函数与GMT的方位角信号进行相关运算。通常,假定的方位角参考函数的多普勒参数与GMT的方位角信号的多普勒参数不同,因为GMT的速度参数未知。因此,前面提到的相关运算实际上是不匹配的压缩,并且结果图像被移位和散焦。移位和散焦后的图像用于获得GMT的真实多普勒和速度参数。这种方法的优点是不仅可以很好地聚焦GMT,而且可以同时获得GMT的速度。另外,该方法仅需要单通道天线。通过数值模拟验证了所提出的BFL-SAR GMT成像和速度估计方法。

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