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Multistatic Synthetic Aperture Radar Image Formation

机译:多基地合成孔径雷达成像

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In this paper, we consider a multistatic synthetic aperture radar (SAR) imaging scenario where a swarm of airborne antennas, some of which are transmitting, receiving or both, are traversing arbitrary flight trajectories and transmitting arbitrary waveforms without any form of multiplexing. The received signal at each receiving antenna may be interfered by the scattered signal due to multiple transmitters and additive thermal noise at the receiver. In this scenario, standard bistatic SAR image reconstruction algorithms result in artifacts in reconstructed images due to these interferences. In this paper, we use microlocal analysis in a statistical setting to develop a filtered-backprojection (FBP) type analytic image formation method that suppresses artifacts due to interference while preserving the location and orientation of edges of the scene in the reconstructed image. Our FBP-type algorithm exploits the second-order statistics of the target and noise to suppress the artifacts due to interference in a mean-square sense. We present numerical simulations to demonstrate the performance of our multistatic SAR image formation algorithm with the FBP-type bistatic SAR image reconstruction algorithm. While we mainly focus on radar applications, our image formation method is also applicable to other problems arising in fields such as acoustic, geophysical and medical imaging.
机译:在本文中,我们考虑了一种多静态合成孔径雷达(SAR)成像方案,其中大量机载天线正在穿越任意飞行轨迹并发射任意波形,而其中的一些正在发射,接收或同时出现在这两者之间,而没有任何形式的多路复用。由于多个发射器和接收器处的附加热噪声,每个接收天线上的接收信号可能会受到散射信号的干扰。在这种情况下,由于这些干扰,标准的双基地SAR图像重建算法会导致重建图像中出现伪像。在本文中,我们在统计设置中使用微局部分析来开发滤波反投影(FBP)类型的分析图像形成方法,该方法可以抑制由于干扰而造成的伪影,同时在重建图像中保留场景边缘的位置和方向。我们的FBP型算法利用目标和噪声的二阶统计量来抑制由于均方根干扰引起的伪像。我们目前的数值模拟,以证明我们的多基地SAR图像形成算法与FBP型双基地SAR图像重建算法的性能。尽管我们主要专注于雷达应用,但我们的成像方法也适用于在声学,地球物理和医学成像等领域出现的其他问题。

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