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首页> 外文会议>CIE(Chinese Institute of Electronics) International Conference on Radar; 20061016-19; Shanghai(CN) >Spatial-Temporal Differential Analysis for Profiling the Atmosphere, 1, Theoretical Background
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Spatial-Temporal Differential Analysis for Profiling the Atmosphere, 1, Theoretical Background

机译：剖析大气的时空差异分析，理论背景，1

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摘要

We introduce a conceptually new method for processing multiple synchronized radar signals. The method is referred to as spatial-temporal differential analysis (STDA) and it operates with increments of signals from multiple receive channels at small spatial and temporal separations. To improve the radar detection and tracking capabilities, STDA takes advantage of the signal scintillations, which are regarded as a harmful phenomenon by conventional signal processing methods. To introduce the concept of STDA, we consider a specific task: measuring mean horizontal winds and turbulence with atmospheric wind profilers. We present a simplified technique for spaced antenna profiling radars which is based on structure functions which are statistical moments of the increments in a space-time domain. We demonstrate that STDA "senses" different characteristics of scatterers than conventional spectra and correlation function-based methods do. This new concept enables reliable measurement of characteristics of the atmosphere in the presence of strong clutter as well as comprehensive measurements of atmospheric turbulence which no other known methodology can provide.
机译：我们介绍了一种在概念上用于处理多个同步雷达信号的新方法。该方法称为时空差分分析（STDA），它以来自多个接收通道的信号增量在较小的空间和时间间隔下运行。为了提高雷达的检测和跟踪能力，STDA充分利用了信号闪烁的优势，传统的信号处理方法将其视为有害现象。为了介绍STDA的概念，我们考虑一个特定的任务：使用大气风廓线仪测量平均水平风和湍流。我们提出一种简化的间隔天线轮廓雷达技术，该技术基于结构函数，这些结构函数是时空域中增量的统计矩。我们证明，与传统的光谱和基于相关函数的方法相比，STDA可以“感知”散射体的不同特征。这个新概念可以在存在强杂波的情况下可靠地测量大气的特征，以及对大气湍流进行综合测量，这是其他已知方法无法提供的。

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