门限设置对雷达数据质量的影响研究  

Improving the Quality of Weather Radar Data Using Threshold

作　　者：张振仟 胡明宝[1] 孟鑫[1] 魏浩[1] 

机构地区：[1]解放军理工大学气象海洋学院,江苏南京211101

出　　处：《雷达科学与技术》2015年第5期490-495,共6页Radar Science and Technology

摘　　要：天气雷达信号处理过程中,回波信号经谱矩估计得到反映气象目标信息的平均回波功率、平均径向速度和速度谱宽等信息参数,但是处理得到的回波数据中不仅包含有用回波数据,而且保留有地物杂波、系统噪声和失真回波数据等干扰回波,它们严重影响雷达数据质量。但是干扰回波和降水回波是有很明显的信号特征差异的,比如信号强度和信号相干性,根据这些特征参数可以有效识别干扰回波数据,选取信号特征差异比较明显的参数进行研究,通过设置门限阈值,对谱矩估计得到的基数据进行质量控制。实际处理结果表明,通过联合使用多种门限参数能够有效识别和滤除各种干扰回波数据,天气雷达基数据质量得到明显改善。In weather radar signal processing, the mean power, mean radial velocity and spectrum width, estimated by the received echo signals, indicate meteorologieal information. However, not only the useful echo data, but also ground clutter, system noise and distortion data remain in the processed echo data. These interference data seriously decrease the base data quality. Since the precipitation data differs from the interference data in signal characteristics, such as signal strength and signal coherence, we can effectively dis- tinguish precipitation data from interference data through setting up parameter threshold to improve the base data quality. The results demonstrate that multiple parameter thresholds can effectively identify and filter out the interference data, then the weather radar base data quality can be improved greatly.

关 键 词：数据质量 参数门限 信号质量因子 杂波校正因子 

分 类 号：TN959.4[电子电信—信号与信息处理]