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SELECTIVE ITERATIVE RECONSTRUCTION FOR REMOVAL OF RADIO FREQUENCY INTERFERENCE IN WIDEBAND SYNTHETIC APERTURE RADAR

机译:去除宽带合成孔径雷达无线电频率干扰的选择性迭代重建

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摘要

We present an approach for minimising the effects of Radio Frequency Interference (RFI) on wideband Synthetic Aperture Radar (SAR). The method, which will be referred as SIR (Selective Iterative Reconstruction), works well in urban environment, where power level of RFIs often far exceeds the power level of the SAR echo signal. The urban terrestrial transmitters discussed here include TV broadcasts, FM radio stations, land mobile transmitters and public services such as paging and emergency operators. The SAR signal used is the common wideband, linear chirp. The SAR system uses a dechirp-on-receive setup prior to digitization. Our approach aims to improve the Signal-to-Noise ratio by fast non-statistical filtering and iterative reconstruction of the target signal distorted by the filtering. In the advent of faster DSPs dedicated to performing Fast Fourier Transforms, we believe that our method could eventually meet real-time RFI suppression requirements.
机译:我们提出了一种使射频干扰(RFI)对宽带合成孔径雷达(SAR)的影响最小化的方法。该方法将被称为SIR(选择性迭代重建),在城市环境中效果很好,RFI的功率电平通常远远超过SAR回波信号的功率电平。这里讨论的城市地面发射机包括电视广播,FM广播电台,陆地移动发射机以及诸如寻呼和紧急操作员之类的公共服务。所用的SAR信号是常见的宽带线性chi。 SAR系统在数字化之前使用接收时去chirp设置。我们的方法旨在通过快速的非统计滤波和迭代重构因滤波而失真的目标信号来提高信噪比。随着致力于执行快速傅立叶变换的更快DSP的出现,我们相信我们的方法最终可以满足实时RFI抑制要求。

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