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Source localization using airborne sensor arrays in the presence of manifold perturbations.

机译:在存在多重扰动的情况下,使用机载传感器阵列进行源定位。

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摘要

This thesis studies localizing sources of electromagnetic energy using a sensor array whose manifold is only nominally known. The problem of source localization is studied in the context of an airborne array, making possible the observation of a ground source from multiple look angles.; External and self calibration algorithms are developed as a means of obtaining accurate source localization estimates when the sensor manifold is perturbed. External calibration assumes that the expected difference between the actual and modeled array manifold has already been established. Self calibration assumes that this expected difference is known only approximately, and relies on signals of opportunity in the environment to provide updates.; Several novel calibration algorithms are proposed, and their performance is tested on both conventional arrays and vector sensors. Conventional arrays are arrays which consist of identical sensors, whereas vector sensors are polarization-diverse arrays that are composed of different sensor types. The results indicate that significant performance gains are achieved with the use of these proposed calibration algorithms.
机译:本文研究使用传感器阵列的电磁能量源的定位,该传感器的歧管只是名义上已知的。在机载阵列的背景下研究了源的定位问题,这使得从多个视角观察地面源成为可能。开发了外部和自校准算法,作为在干扰传感器歧管时获得准确的源定位估计的一种方法。外部校准假定已经建立了实际和建模阵列歧管之间的预期差异。自校准假设该预期差异仅是大约已知的,并且依赖于环境中的机会信号来提供更新。提出了几种新颖的校准算法,并在常规阵列和矢量传感器上测试了它们的性能。常规阵列是由相同传感器组成的阵列,而矢量传感器是由不同传感器类型组成的偏振分光阵列。结果表明,使用这些建议的校准算法可显着提高性能。

著录项

  • 作者

    Mir, Hasan S.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 91 p.
  • 总页数 91
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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