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

机译:均衡凹口的应用改善合成孔径雷达相干数据产品

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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, 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降低了合成孔径雷达(SAR)相干数据产品。利用拉伸处理的雷达对许多缓解技术具有独特的挑战,因为干扰信号本身通过从其原始信号特性的拉伸处理来修改。根据雷达和干涉带宽,许多包括恒定音调的干扰源(包括恒定音调)仅存在于有限数量的样本内。自适应滤波算法来估计和去除依赖于假设静止干扰信号特性的干扰信号可以无效。一种称为缺口的有效缓解方法,迫使含有干扰到零的数据样本的值。然而,随着设置为零的数据样本的数量增加,图像失真和分辨率的丢失降低了图像产品和任何二阶图像产品。修复图像扭曲的技术对于点状目标是有效的。然而,这些技术并不设计用于模拟和修复SAR图像地形中的扭曲。良好的地形相干性对于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。对于相干变化检测的情况,它是决定改变检测图像的质量的地形相干性。本文提出了一种独特的均衡技术,可以提高现有缺口技术的一致性。首先,该算法仅限于与自适应滤波算法不同的包含干扰的样本来限制缓解,因此剩余的样本不会被修改。另外,缓解适应改变干扰功率,使得所得到的校正均衡到数据样本的电力。结果降低了变形和改善了地形的相干性。 SAR数据展示了所提出的均衡校正对啁啾干扰源的现有切口方法的提出的相干性。

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