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Application of Equalization Notch to Improve Synthetic Aperture Radar Coherent Data Products

机译:均衡缺口在改善合成孔径雷达相干数据产品中的应用

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Interference and interference mitigation techniques degrade synthetic aperture radar (SAR) coherent data products. Radars utilizing stretch processing present a unique challenge for many mitigation techniques because the interference signal itself is modified through stretch processing from its original signal characteristics. Many sources of interference, including constant tones, are only present within the fast-time sample data for a limited number of samples, depending on the radar and interference bandwidth. Adaptive filtering algorithms to estimate and remove the interference signal that rely upon assuming stationary interference signal characteristics can be ineffective. An effective mitigation method, called notching, forces the value of the data samples containing interference to zero. However, as the number of data samples set to zero increases, image distortion and loss of resolution degrade both the image product and any second order image products. Techniques to repair image distortions,1 are effective for point-like targets. However, these techniques are not designed to model and repair distortions in SAR image terrain. Good terrain coherence is important for SAR second order image products because terrain occupies the majority of many scenes. For the case of coherent change detection it is the terrain coherence itself that determines the quality of the change detection image. This paper proposes an unique equalization technique that improves coherence over existing notching techniques. First, the proposed algorithm limits mitigation to only the samples containing interference, unlike adaptive filtering algorithms, so the remaining samples are not modified. Additionally, the mitigation adapts to changing interference power such that the resulting correction equalizes the power across the data samples. The result is reduced distortion and improved coherence for the terrain. SAR data demonstrates improved coherence from the proposed equalization correction over existing notching methods for chirped interference sources.
机译:干扰和干扰缓解技术会降低合成孔径雷达(SAR)相干数据产品的性能。利用拉伸处理的雷达对许多缓解技术提出了独特的挑战,因为干扰信号本身是通过拉伸处理从其原始信号特性中进行修改的。对于有限数量的样本,取决于雷达和干扰带宽,许多干扰源(包括恒定音调)仅存在于快速时间样本数据中。依靠假设静止干扰信号特性来估计和消除干扰信号的自适应滤波算法可能无效。一种有效的缓解方法(称为缺口)可将包含干扰的数据样本的值强制为零。但是,随着设置为零的数据样本数量的增加,图像失真和分辨率降低会降低图像乘积和任何二阶图像乘积。修复图像失真的技术1对于点状目标很有效。但是,这些技术并非设计用于建模和修复SAR图像地形中的失真。地形相干性对于SAR二阶图像产品非常重要,因为地形占据了许多场景的大部分。对于相干变化检测来说,地形相干本身决定了变化检测图像的质量。本文提出了一种独特的均衡技术,该技术可以提高现有陷波技术的一致性。首先,与自适应滤波算法不同,所提出的算法将缓解措施限制为仅包含干扰的样本,因此不会修改其余样本。此外,缓解措施可适应不断变化的干扰功率,从而使校正结果使整个数据样本的功率相等。结果是减少了失真并改善了地形的连贯性。 SAR数据表明,与chi干扰源的现有陷波方法相比,拟议的均衡校正可改善相干性。

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