...
首页> 外文期刊>Radioelectronics and Communications Systems >Multithreshold Procedure for Evaluating Parameters of Meteorological Objects against the Background of Local Objects Clutter in Pulsed Doppler Weather Radars
【24h】

Multithreshold Procedure for Evaluating Parameters of Meteorological Objects against the Background of Local Objects Clutter in Pulsed Doppler Weather Radars

机译:脉冲多普勒天气雷达局部目标杂波背景下的气象目标参数多阈值评估方法

获取原文
获取原文并翻译 | 示例
           

摘要

A multithreshold procedure for estimating parameters of meteorological objects (MO) against the background of interferences from local objects in pulsed Doppler weather radars has been proposed. It is based on using the operation results of introduced detector of local objects for making a decision on estimating the parameters of meteorological objects before or after the nonadaptive MO suppression filter. The task of detection in this detector is solved by the threshold processing of correlation coefficients of reflections carrying the information on both the composition of analyzed mixture andMO parameters. This feature of the proposed detector compares favorably with a large variety of the known detectors. It is shown that the proposed detector makes it possible to take a correct decision about the composition of the mixture with probability D > 0.9 already at MO radial velocities V ~( r )> 2 m/s. The possibility and expediency of practical use of the proposed procedure in the system of estimating the MO parameters under the real conditions of limited sample sizes of processed inputs were confirmed by mathematical experiment. In this case, the accuracy of estimates is shown to be more than twice as high as that of the known procedures.
机译:提出了一种多阈值程序,用于在脉冲多普勒天气雷达中根据局部物体的干扰来估计气象物体(MO)的参数。它是基于使用引入的本地对象检测器的操作结果来决定估算非自适应MO抑制滤波器之前或之后的气象对象参数的决定。该检测器中的检测任务通过对反射相关系数进行阈值处理来解决,该阈值处理中包含有关分析混合物的成分和MO参数的信息。所提出的检测器的这一特征与各种各样的已知检测器相比是有利的。结果表明,提出的检测器使得可以在MO径向速度V〜(r)> 2 m / s的情况下,以概率D> 0.9正确地确定混合物的成分。通过数学实验,证实了所提出的程序在实际输入信号的样本量有限的真实条件下,在估计MO参数的系统中实际应用的可能性和便利性。在这种情况下,估计的准确性显示为已知程序的两倍以上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号