| 基于小波变换改善天气回波信噪比的模拟分析 |
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| 引用本文： | 史万里,何建新,史朝,余代辉,王锴.基于小波变换改善天气回波信噪比的模拟分析[J].成都信息工程学院学报,2013(6):580-584. |
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| 作者姓名： | 史万里 何建新 史朝 余代辉 王锴 |
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| 作者单位： | [1]成都信息工程学院电子工程学院,四川成都610225 [2]成都信息工程学院电子工程学院,四川成都610225;中国气象局大气探测重点开放实验室四川成都610225 [3]贵州省黔东南州气象局,贵州凯里556000 [4]山西省大气探测技术保障中心,山西太原030002 |
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| 基金项目： | 国家自然科学基金面上资助项目（41075010） |
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| 摘 要： | 为了提升天气雷达对弱气象目标的发现能力,扩展系统观测的动态范围,可以从改善雷达回波的输出信噪比方面来考虑.从信号处理算法层面寻求改善天气雷达回波的输出信噪比的方法,提出运用小波变换的方法来达到这个目的.首先介绍了小波消噪的基本原理,再结合具体雷达系统参数,进行了相关的算法模拟,其结果表明,在符合高斯谱特征分布的模拟回波在不同信噪比（-20～10dB）设定条件下,运用小波变换的去噪方法可以使其信号的输出信噪比提高大约5～11dB,为天气雷达探测更多的弱气象目标提供了有利条件.
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| 关 键 词： | 气象雷达 信号处理 小波变换 信噪比 |
The Simulation Analysis of Improving the Weather Echoes SNR Based on Wavelet Transform |
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| SHI Wan-li,HE Jian-xin,SHI Zhao,YU Dai-hui,WANG Kai.The Simulation Analysis of Improving the Weather Echoes SNR Based on Wavelet Transform[J].Journal of Chengdu University of Information Technology,2013(6):580-584. |
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| Authors: | SHI Wan-li HE Jian-xin SHI Zhao YU Dai-hui WANG Kai |
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| Institution: | 1. School of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China; 2. Key Laboratory of Atmospheric Sounding, Chengdu 610225, China; 3. Qian Dong Nan Meteorological Administration, Guizhou 556000, China; 4. Atmo- spheric Observation Technology Support Center of Shan Xi Province, Taiyuan 030002, China) |
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| Abstract: | To improve the detect ability of weather radar for weak target and extend the dynamic monitoring range of the system, improving the output SNR of weather radar echoes is taken into consideration. This article considers im- proving the output SNR of weather radar echo in signal processing with Wavelet transform method. Firstly, this arti- cle introduces the basic principle of wavelet de-noising. Secondly, we make algorithm simulations with specific radar system parameter values. From the simulation result, the simulated echoes of the Gaussian spectral characteristics distribution are in different SNR （ - 20 - 10dB）, by using wavelet transform method it can increase the echoes output SNR by about 5 - 11dB, which facilitates weather radar to detect more weak echoes. |
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| Keywords: | weather radar signal processing wavelet transform SNR |
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