Improved Performance in Horizontal Wind Estimation Using a Spaced Antenna Drift Technique and Signal Processing Approaches.
Improved Performance in Horizontal Wind Estimation Using a Spaced Antenna Drift Technique and Signal Processing Approaches.
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使用间隔天线漂移技术和信号处理方法提高水平风估计的性能。
DOI：
10.1109/tgrs.2012.2214442
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
and Ch. G. Reddy
中科院分区：
文献类型：
--
作者：
Kumar;S.;V.K. Anandan;T. Tsuda;J. Furumoto;and Ch. G. Reddy
日本Shigaraki的中高层大气雷达是利用间隔天线技术进行观测的一个极好的系统。几年来，许多科学研究报告使用SA。在大多数研究中，SA用于获得风信息，并且阵列被分成三个部分，并且与三个或六个通道组合以获得等边三角形形式的基线。在以前的工作中，SA估计的风最大高度为10-14公里。通常，基于SA的风估计由于用于接收信号的孔径较小而不能给出良好的高度覆盖。本文利用剖面仪的25个接收通道进行了全阵发射和接收信号的观测。接收器通道被分成三个相等的部分，以形成适合使用全相关分析（FCA）推导水平风矢量分量的基线。FCA被认为是一种传统的SA技术。接收通道的分组及其相位中心的识别是获得良好相关值和确定速度的关键。利用阵列组的四个不同取向重复分组。在每种情况下，估计风速。对从所有方向获得的水平风矢量分量进行平均，以获得平均水平风矢量分量。结果与估计的风速使用多普勒波束摆动（DBS）技术和观测的GPS探空仪。据观察，采用空间分布阵列分组的新方法产生了更高的高度覆盖率高达20公里，并在良好的协议，使用DBS和GPS探空仪观测的时间分辨率为1.3分钟，在晴朗的空气条件下获得的结果。
The middle and upper atmospheric (MU) radar at Shigaraki, Japan, is an excellent system to carry out observation using a spaced antenna (SA) technique. Over several years, numerous scientific studies were reported using SAs. In most of the studies, a SA is used to derive wind information, and the array is divided in to three segments and is grouped with three or six channels to obtain the baselines in the form of an equilateral triangle. In previous work, the wind had been estimated by the SA up to a maximum height of 10-14 km. In general, a SA-based wind estimation could not give good height coverage due to a smaller aperture being used for received signals. In this paper, the observation has been conducted for full-array transmission and reception of signal with 25 receiver channels of the profiler. The receiver channels are divided into three equal segments to form the baselines suitable for deriving horizontal wind vector components using full correlation analysis (FCA). FCA is considered as a conventional SA technique. The identification of receive channels for grouping and its phase centers was critical to obtain the good correlation value and to determine the velocity. The grouping is repeated with four different orientations of the array group. In each case, the wind velocity is estimated. The horizontal wind vector components obtained from all orientations are averaged to obtain mean horizontal wind vector components. The results are compared with the wind velocity estimated using a Doppler beam swinging (DBS) technique and that observed by the GPS sonde. It is observed that the new approach adopted using spatially distributed array grouping has yielded higher height coverage up to 20 km and in good agreement with the results obtained using DBS and GPS-sonde observations with a temporal resolution of 1.3 min in clear air condition.