基于周期图的高频多普勒雷达海面遥感一阶功率谱密度推导

R. Shahidi, E. Gill
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引用次数: 1

摘要

在Gill的博士论文中,作者通过在一定散射数的情况下求接收电压的自相关,然后对其进行傅里叶变换来确定单位面积的功率谱密度。在这里,我们使用Welch的周期图方法来找到功率谱密度,我们对接收电压的表达式进行傅里叶变换,并将功率谱密度等同于该变换的平方幅度的期望值。这简化了分析,并对一阶布拉格峰有了新的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Periodogram-based derivation of first-order power spectral density from remote sensing of the ocean surface by HF-Doppler radar
In the Ph.D. thesis of Gill, the author determines the power spectral density per unit area by finding the auto-correlation of the received voltage assuming a certain number of scatters, and then taking its Fourier transform. Here, we instead find the power spectral density using Welch's periodogram approach, where we take the Fourier transform of the expression for the received voltage, and equate the power spectral density to the expected value of the squared-magnitude of this transform. This simplifies the analysis, and leads to new insights about the first-order Bragg peaks.
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