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Polarimetric calibration of ultra-wideband SAR imagery.

机译：超宽带SAR图像的极化校准。

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摘要

Polarimetric synthetic aperture radar (SAR) imagery is susceptible to degradation because of variations in transmit and receive antenna patterns and hardware limitations on achievable polarimetric isolation. A number of polarimetric calibration procedures have been developed to compensate for these effects. However, most of these techniques are limited to narrowband radar systems. The few that are applicable to ultrawideband (UWB) SAR depend on very high quality antenna measurements or detailed electromagnetic scattering models of test targets. In this thesis we develop and implement a novel blind polarimetric equalization (BPE) procedure suitable for UWB SAR. BPE uses second-order statistics from clutter and targets of opportunity to derive parameters describing the polarimetric response of the radar system. Knowledge of these parameters permits the removal of crosstalk and the correction of imbalances between the polarimetric channels. While not a complete calibration solution, BPE is shown to greatly simplify any subsequent calibration procedures. For UWB applications BPE is implemented as a series of frequency domain operations, and it is this feature that sets the technique apart from previously reported clutter calibration algorithms. The BPE approach was tested and refined on numerical simulations, UWB SAR simulations, and narrowband ISAR measurements. The performance of the technique was then verified on measured LTWB SAR imagery collected by the Army Research Laboratory's BoomSAR system.
机译：由于发射和接收天线方向图的变化以及可实现的极化隔离的硬件限制，极化合成孔径雷达（SAR）图像容易退化。已经开发出许多极化校准程序来补偿这些影响。但是，这些技术大多数都限于窄带雷达系统。少数适用于超宽带（UWB）SAR的产品取决于高质量的天线测量或测试目标的详细电磁散射模型。在本文中，我们开发并实现了一种适用于UWB SAR的新型盲极化均衡（BPE）程序。 BPE使用杂波和机会目标的二阶统计量来得出描述雷达系统极化响应的参数。这些参数的知识可以消除串扰并纠正极化通道之间的不平衡。虽然不是完整的校准解决方案，但BPE可以大大简化随后的校准程序。对于UWB应用，BPE被实现为一系列频域操作，正是这一功能使该技术与先前报道的杂波校准算法脱颖而出。在数值模拟，UWB SAR模拟和窄带ISAR测量中对BPE方法进行了测试和完善。然后，在陆军研究实验室的BoomSAR系统收集的实测LTWB SAR影像上验证了该技术的性能。

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  • 作者

    Showman, Gregory Alan.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Engineering Electronics and Electrical.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;遥感技术;
  • 关键词

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