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Signal processing methods to improve ocean surface wave estimation from a high frequency surface wave radar

机译:利用高频面波雷达改善海面波估计的信号处理方法

摘要

High frequency surface wave radars are operated as a remote sensor to measure ocean surface parameters to ranges exceeding 200-300 km from the coastline. The Bragg peaks in the power spectrum of backscattered radar electromagnetic signals from ocean waves reveal the Bragg resonant effect and the second order continuum reflect a hydrodynamic and electromagnetic modulation on the radio waves from the ocean waves. The power spectrum is thus utilized to invert the ocean wave directional spectrum by a non-linear integral equation. Further integrations of the ocean wave directional spectrum yield the estimates of wave parameters: significant waveheight, mean wave period, mean direction, directional spread, etc. Beside sea echoes, non-sea echoes or interferences (collectively termed ‘clutter'), are also received by radar antenna receivers and included in the power spectrum. Clutters which occupy the second order continuum are treated as sea echoes in the inverse algorithm and cause inaccurate estimation of the ocean wave directional spectrum. Thus clutter mitigation is the main purpose of this thesis and is intensively investigated. A three-step image processing approach is proposed in this thesis which could mitigate visible clutters, e.g. radio frequency interferences and ionospheric interferences, and also invisible clutters. The kernel implements a decomposition of the mixture space and then a projection of the mixture space into a desired subspace. In addition to this main approach, various signal processing methods are also investigated for improving the wave estimates, e.g. wavelet analysis, AR modeling, adaptive filtering algorithm. The clutter mitigation scheme is validated by operational use on a whole month of Pisces data and exhibits some improvements in the accuracy of wave estimates. To aid the operational use, a statistical pattern recognition method is also developed. Finally, the best schemes are chained together for a sequential operational use in terms of providing better wave estimation.
机译:高频表面波雷达作为遥感器运行,可测量距海岸线超过200-300公里的海面参数。来自海浪的反向散射雷达电磁信号的功率谱中的布拉格峰揭示了布拉格共振效应,并且二级连续谱反映了对来自海浪的无线电波的流体动力和电磁调制。因此,利用功率谱通过非线性积分方程将海浪方向谱求逆。对海浪方向谱的进一步积分可以得出海浪参数的估计值:有效波高,平均海浪周期,平均方向,方向扩展等。除了海波,非海波或干扰(统称为“杂波”)之外,由雷达天线接收器接收并包含在功率谱中。在逆算法中,将占据二阶连续体的杂波视为海波回波,并且会导致海浪方向频谱的估计不准确。因此,减轻杂波是本论文的主要目的,并进行了深入研究。本文提出了一种三步图像处理方法,该方法可以减轻可见的杂波。射频干扰和电离层干扰以及不可见的杂波。内核执行混合空间的分解,然后将混合空间投影到所需的子空间中。除了这种主要方法外,还研究了各种信号处理方法以改善波浪估计,例如小波分析,AR建模,自适应滤波算法。通过对双鱼座数据整个月的操作使用验证了杂波缓解方案,并在波浪估计的准确性方面显示出一些改进。为了辅助操作,还开发了一种统计模式识别方法。最后,就提供更好的波浪估计而言,最好的方案被链接在一起以进行顺序操作。

著录项

  • 作者

    Wang Wei;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
  • 中图分类

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