Radio frequency interference removal in a VHF/UHF deramp SAR
Radio frequency interference removal in a VHF/UHF deramp SAR
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VHF/UHF 解调 SAR 中的射频干扰消除
DOI：
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发表时间：
1995
期刊：
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通讯作者：
R. C. Sullivan
中科院分区：
文献类型：
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作者：
A. Golden;S. Werness;M. Stuff;S. DeGraaf;R. C. Sullivan
本文总结了ARPA/陆军资助的一项计划的结果，该计划旨在开发创新方法，以减少在100 MHz至1000 MHz频率范围内工作的合成孔径雷达（sar）受到多源射频干扰（RFI）的影响。由于SAR信号可以建模为宽带噪声，因此实现目标的方法是将RFI建模为所需SAR信号带宽内的音调集合。RFI抑制包括检测这些音调的存在和估计这些音调的数量，估计它们的幅度，相位和频率，最后重建RFI并从原始损坏的信号中相干地减去它。我们方法的核心是使用参数最大似然（PML）算法来估计RFI音调的参数。虽然我们的大部分工作都致力于评估PML算法的性能，但我们也研究了带阻滤波的一种变体，即陷波或自适应掩模算法。由于该计划的重点是开发超宽带（UWB） P-3 SAR算法，这是一种脱模SAR，因此将PML算法应用于脱模RFI的方法也是必要的。因此，本文将简要描述PML算法以及如何将其应用于脱模SAR，然后将讨论两种RFI抑制算法的性能及其计算复杂性。经过一年的努力，已经开发出两种RFI算法，可以自动去除可能损坏SAR图像的90%到95%的RFI。
This paper summarizes the results of an ARPA/Army sponsored program to develop innovative approaches for reducing the effects of multiple source of radio frequency interference (RFI) on synthetic aperture radars (SARs) operating in the frequency range of 100 MHz to 1000 MHz. Since the SAR signal can be modeled as wide band noise, the approach taken to achieve the objective was to model the RFI as a collection of tones within the desired SAR signal bandwidth. RFI suppression consisted of detecting the presence of and estimating the number of these tones, estimating their amplitude, phase, and frequency, and finally reconstructing the RFI and coherently subracting it from the original corrupted signal. Central to our approach was the use of a parametric maximum likelihood (PML) algorithm for the estimation of the parameters of the RFI tones. Although most of our effort was devoted to the evaluation of the performance obtainable from the PML algorithm, a variation of band-stop filtering, which is referred to as the Notch or Adaptive Mask algorithm, was also studied. Since the focus of this program was the development of algorithms for the ultra-wideband (UWB) P-3 SAR, which is a deramp SAR, a means of applying the PML algorithm to deramped RFI was also necessary. This paper will thus briefly describe the PML algorithm and how it can be applied to a deramp SAR, and it will then discuss the preformance of both RFI suppression algorithms and their computational complexity. As a result of this one year effort, two RFI algorithms have been developed that automatically remove 90 to 95 percent of the RFI that could have corrupted a SAR image.