论文:2015,Vol:33,Issue(1):159-164
引用本文:
于莹洁, 李勇. 一种机载气象雷达湍流信号的检测方法及仿真[J]. 西北工业大学学报
Yu Yingjie, Li Yong. A New Method for Detecting and Simulating Turbulence Signals of Airborne Weather Radar[J]. Northwestern polytechnical university

一种机载气象雷达湍流信号的检测方法及仿真
于莹洁, 李勇
西北工业大学电子信息学院, 陕西西安 710072
摘要:
为了提高机载气象雷达检测湍流信号的准确性,提出了一种湍流信号处理的新方法——Welch法。首先建立了满足湍流特性的仿真风场模型,定义了湍流场中湍流尺度和强度等参数,然后利用仿真风场模型建立湍流的雷达回波模型。采用功率谱估计技术中的Welch法估计湍流的速度谱和谱宽。最后通过门限判决,谱宽超出门限的对气象目标将被视为湍流目标,并显示全屏扫描结果。仿真结果表明,该方法能够准确估计出湍流回波信号中的风速分布,且与传统傅里叶变换(fast Fourier transform, FFT)法相比,新算法具有更高的谱分辨率并能保留更多的谱特征,可以满足机载雷达对湍流目标检测的要求。
关键词:    机载气象雷达    湍流    风场    Welch法    多普勒频移   
A New Method for Detecting and Simulating Turbulence Signals of Airborne Weather Radar
Yu Yingjie, Li Yong
Department of Electronics Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
In order to accurately detect the turbulence signals of an airborne weather radar, we use the Welch method to process its turbulence signals. We establish the wind field simulation model and define the turbulence scale and turbulence intensity. Then we use the wind field simulation model to establish the turbulence echo signal model and then use the Welch method to estimate the velocity spectrum and spectral width of turbulence signals. Finally we use a certain threshold to determine that the airborne target, whose spectral width exceeds the threshold, is a turbulence target and display its full-screen scan results. The simulation results, given in Figs. 3 through 10, and their analysis show preliminarily that:(1) our new method can accurately estimate the distribution of wind speed in the turbulence echo signals; (2) our new method preserves more spectral characteristics and has better spectral resolution than the conventional fast Fourier transform, thus meeting the requirements for detecting turbulence targets of an airborne weather radar.
Key words:    airborne weather radar    turbulence    wind field    Welch algorithm    Doppler spectrum shift   
收稿日期: 2014-09-25     修回日期:
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作者简介: 于莹洁(1989-),女,西北工业大学博士研究生,主要从事雷达信号处理研究。
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参考文献:
[1] Kaplan M L, Huffman A W, Lux K M. Characterizing the Severe Turbulence Environments Associated with Commercial Aviation Accidents[J]. Meteorology and Atmospheric Physics, 2005, 88(3/4):129-152
[2] Britt C L, Kelly C W. User's Guide for an Airborne Doppler Weather Radar Simulation (ADWRS) Program[D]. U.S. Center for Aerospace Technology, 2002
[3] 刘小洋,李勇,程宇峰.机载脉冲多普勒雷达湍流信号的仿真分析[J].系统工程与电子技术, 2012, 34(5):920-924 Liu X Y, Li Y, Cheng Y F. Simulation and Analysis of Turbulence Signals in Airborne Pulse Doppler Radar[J]. Systems Engineering and Electronic, 2012, 34(5):920-924(in Chinese)
[4] 卢晓光,夏冬.基于统计置信度的湍流检测门限确定方法[J].中国民航大学学报. 2011,29(4):27-30 Lu X G, Xia D. Method for Setting Threshold of Turbulence Detection Based on Statistical Confidence Level[J]. Journal of Civil Aviation University of China, 2011, 29(4):27-30(in Chinese)
[5] Monakov A, Monakov Y. Detection of Turbulence with Airborne Weather Radars using Space-Time Filtering[J]. IEEE Trans on Aerospace and Electronic Systems, 2010, 46(4):2131-2137
[6] Yanovsky F J, Russchenberg H W J, Unal C M H. Retrieval of Information about Turbulence in Rain by Using Doppler-Polarimetric radar[J]. IEEE Trans on Microwave Theory and Techniques, 2005,53(2):444-450
[7] Eric B, Pascal L, Claude A, et al. Parametric Spectral Moments Estimation for Wind Profiling Radar[J]. IEEE Trans on Geoscience and Remote Sensing, 2003,41(8):1859-1868
[8] Yaroslav O, Felix Y. Turbulence Detection by Doppler Spectrum Shape Analysis[C]//Proceeding of the 5th European Radar Conference, 2008:268-271
[9] Felix Y, Yaroslav O, Vitaly M. Algorithms for Object Recognition by Weather Radar[C]//2008 international Radar Symposium, 2008:1-4
[10] Mark A. Richards. Fundamentals of Radar Signal Processing[M]. New York, McGraw-Hill Companies, Inc, 2005
[11] 魏耀,张兴敢,柏业超.一种机载前视风切变雷达的信号分析及仿真[J].南京大学学报:自然科学版, 2011, 47(1):13-18 Wei Y, Zhang X G, Bai Y C. Analysis and Simulation of an Airborne Weather Radar[J]. Journal of Nanjing University:Natural Sciences, 2011, 47(1):13-18(in Chinese)
[12] 胡广书.数字信号处理-理论、算法与实现[M].2版.北京:清华大学出版社, 2003 Hu G S. Digital Signal Processing-Theory, Algorithm and Implementation[M]. 2nd ed. Beijing, Tsinghua University Press, 2003(in Chinese)