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Application of the matrix pencil approach to direction finding.

机译:矩阵笔法在测向中的应用。

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摘要

The Matrix Pencil Approach (1) was shown to be an effective and efficient method for estimating the angles of arrival of multiple narrow-band sources. Having collected the data from the outputs of a linear array consisting of m sensors, the objective is to estimate the locations of the d sources (d {dollar}<{dollar} m). The information about the parameters of interest are contained in the rank reducing values of a matrix pencil generated from the set of data.; Several extensions of the Matrix Pencil Approach appear in this dissertation. Given d correlated sources, it is shown that improved performance can be achieved using a data window of length L = d. Previous developments of high resolution algorithms neglected the effects of mutual coupling which occurs between the elements of an array. Failure to account for these effects results in poor performance. We have successfully devised compensating schemes for both ESPRIT and the Moving Window. Three techniques dealing with wideband signals are proposed in this dissertation. In the first method the wideband signals are modeled as sums of exponentials. This model is suitable for non stationary signals. The estimation procedure consists of estimating both natural frequencies and angles of arrival of the sources by means of three matrix pencils. A second method is proposed where the wideband sources are assumed to be linear systems driven by white noise. This model is appropriate for stationary signals. The analysis is carried out on the unit circle using the Discrete Fourier Transform. The third approach makes use of the coherent signal subspace method proposed by Wang and Kaveh (56). Finally, we have studied the effects of perturbation due to noise and due to sensor spacing. We have derived upper bounds for the Chordal Metric which is a measure between the true eigenvalue and the perturbed one. The chordal metric is shown to be a functional of the true and the perturbed angles of arrival.; Computer simulations are carried out for each of the analyses associated with respect to data window length, mutual coupling compensation, the three wideband methods, and the upper bounds in the chordal metric.
机译:矩阵笔法(1)被证明是一种估计多个窄带源到达角的有效方法。从包含m个传感器的线性阵列的输出中收集数据后,目标是估计d个源的位置(d {dollar} <{dollar} m)。有关感兴趣参数的信息包含在从数据集生成的矩阵笔的等级降低值中。本文对矩阵铅笔方法进行了一些扩展。给定d个相关源,可以证明,使用长度为L = d的数据窗口可以提高性能。高分辨率算法的先前发展忽略了在阵列的元素之间发生的相互耦合的影响。不考虑这些影响会导致性能下降。我们已经成功地为ESPRIT和移动窗口设计了补偿方案。本文提出了三种处理宽带信号的技术。在第一种方法中,宽带信号被建模为指数之和。该模型适用于非平稳信号。估算程序包括用三支矩阵笔估算源的固有频率和到达角度。提出了第二种方法,其中宽带源被假定为由白噪声驱动的线性系统。该模型适用于平稳信号。使用离散傅立叶变换在单位圆上进行分析。第三种方法利用了Wang和Kaveh(56)提出的相干信号子空间方法。最后,我们研究了由于噪声和传感器间距引起的摄动影响。我们得出了和弦指标的上限,该指标是真实特征值与扰动指标之间的度量。示出了和弦度量是真实和到达角的函数。针对与数据窗口长度,互耦补偿,三种宽带方法以及弦度量的上限相关的每种分析,都进行了计算机模拟。

著录项

  • 作者

    Himed, Braham.;

  • 作者单位

    Syracuse University.;

  • 授予单位 Syracuse University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1990
  • 页码 200 p.
  • 总页数 200
  • 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

  • 入库时间 2022-08-17 11:50:36

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