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1. 发明申请

WO1997035209A1 IMPROVED METHOD OF MOMENT ESTIMATION AND FEATURE EXTRACTION FOR DEVICES WHICH MEASURE SPECTRA AS A FUNCTION OF RANGE OR TIME 审中-公开
标题翻译：用于测量范围作为范围或时间的函数的设备的改进的方法估计和特征提取
公开(公告)号：WO1997035209A1
公开(公告)日：1997-09-25
申请号：PCT/US1996017388
申请日：1996-11-01
申请人： UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH
发明人： UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH , CORNMAN, Lawrence, Bruce , MORSE, Corinne, Sue , GOODRICH, Robert, Kent
IPC分类号： G01S13/95
CPC分类号： G01S13/95 , Y02A90/18
摘要： The computation system of the present invention comprises an improved method of moment estimation for devices which measure spectra as a function of range or time. The preferred embodiment of this system is illustrated as part of an automated meteorological monitoring system for the accurate real time detection of meteorological phenomena, such as winds, wind shear and turbulence. This automated meteorological monitoring system uses a standard weather radar transmitted to scan a predetermined volume of space with a stream of radar pulses to determine the characteristics of meteorological phenomena that are extant in the predetermined volume. The computation of the present invention utilizes novel signal processing algorithms in the improved method of moment estimation to excise the valid data from the return echoes, which are corrupted by the presence of contaminating signals. Separating the valid data from the noise in this manner improves the responsiveness and accuracy of the system in which this method is implemented.
摘要翻译：本发明的计算系统包括测量作为范围或时间的函数的光谱的装置的改进的力矩估计方法。该系统的优选实施例被示出为用于气象现象如风，风切变和湍流的精确实时检测的自动气象监测系统的一部分。这种自动气象监测系统使用传输的标准天气雷达用雷达脉冲流扫描预定体积的空间，以确定在预定体积中存在的气象现象的特征。本发明的计算在改进的力矩估计方法中利用新颖的信号处理算法来从返回回波中消除有效数据，这些信号被污染信号的存在所破坏。以这种方式将有效数据与噪声分离，提高了实施该方法的系统的响应性和准确性。

2. 发明申请

WO1997013161A1 MICROBURST DETECTION SYSTEM 审中-公开
标题翻译：微观检测系统
公开(公告)号：WO1997013161A1
公开(公告)日：1997-04-10
申请号：PCT/US1996015858
申请日：1996-10-02
申请人： UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH
发明人： UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH , ALBO, Eugene, David , GOODRICH, Robert, Kent
IPC分类号： G01S13/95
CPC分类号： G01S13/951 , Y02A90/18
摘要： A radar station (22) utilizes fuzzy logic processing to detect atmospheric microburst events. The detection process accesses radar velocity measurements to calculate wind shear and produce a wind shear likelihood image (500). Reflectivity measurements are used to create a reflectivity likelihood image as an indicator of storm activity (P52). A clutter image of stationary objects close to the radar is used to create a clutter likelihood image as an indicator of false alarms (P54). A weighting factor is applied to each set of wind shear, reflectivity, and clutter likelihood data, and the values are combined to produce a combined likelihood image (P56). The combined likelihood image is subjected to averaging over a fixed area to eliminate spurious readings, and positions having a sufficient size in combination with a likelihood value exceeding a minimum threshold amount are selected as microburst events (P58-P68).
摘要翻译：雷达站（22）利用模糊逻辑处理来检测大气微爆事件。检测过程访问雷达速度测量以计算风切变并产生风切变似然图像（500）。反射率测量用于创建反射性似然图像作为风暴活动的指标（P52）。靠近雷达的静止物体的杂波图像用于产生作为虚警的指示符的杂波似然图像（P54）。对每组风切变，反射率和杂波似然数据应用加权因子，并将这些值组合以产生组合似然图像（P56）。将组合似然图像在固定区域进行平均以消除杂散读数，并且将具有足够大小的位置与超过最小阈值量的似然值组合的位置选择为微突发事件（P58-P68）。

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