基于Capon的机载气象雷达回波谱矩估计

中国民航大学学报

基于Capon的机载气象雷达回波谱矩估计

卢晓光

（中国民航大学智能信号与图像处理天津市重点实验室，天津300300）

收稿日期:2013-04-10 修回日期:2013-05-24 出版日期:2014-06-24 发布日期:2014-10-31
作者简介:卢晓光（1983—），男，山西忻州人，讲师，硕士，研究方向为机载气象雷达信号处理.
基金资助:
国家自然科学基金项目（61071194）；中央高校基本科研业务费专项（ZXH2012D006）

Spectral momens estimation of airborne weather radar based on Capon

LU Xiao-guang

(Intelligent Signal and Image Processing Key Lab of Tianjin,CAUC,Tianjin 300300,China)

Received:2013-04-10 Revised:2013-05-24 Online:2014-06-24 Published:2014-10-31

摘要/Abstract

摘要：

机载气象雷达是飞机的野双眼野，对于保障飞行安全具有重大意义。机载气象雷达通过提取回波的功率、平均多普勒频率和谱宽等3个谱矩信息对气象目标实现检测。本研究利用回波的频谱服从高斯谱的特性建立了回波信号的协方差矩阵模型，推广了应用于线谱估计的Capon 方法，提出了一种参数化的广义Capon 谱矩估计方法。实验结果表明，提出的参数化方法在信噪比较低的情况下仍有较好的估计性能。

关键词: 机载气象雷达, 气象目标检测, 回波谱矩, 参数化估计方法

Abstract:

Airborne weather radar is a key equipment to detect the turbulence existing in flight path and is very important for aviation safety. The operation of airborne weather radar is mainly based on the estimation of first three spectral momens of radar echoes,including power,mean frequency and spectrum width. A covariance matrix model of the radar echoes is deduced from its Gaussian shape spectrum. And then the Capon method,which is used in line spectrum estimation,is employed to estimate the spectral momens. Finally,Monte Carlo simulations demonstrate the proposed method has a good performance even under low SNR.

Key words: airborne weather radar, weather target detection, spectral momens estimation, parametric method

中图分类号:

卢晓光. 基于Capon的机载气象雷达回波谱矩估计[J]. 中国民航大学学报.

LU Xiao-guang. Spectral momens estimation of airborne weather radar based on Capon[J]. .

参考文献

[1] BYRON M K，CHARLES E S. Aviation Weather Information Requirements Study，NASA/CR-2000-210288[R]. NASA Report，2000.

[2] LEE J T. Application of Doppler Radar to Turbulence Measurements Which Affect Aircraft，Final Rep. No. FAA-RD-77-145[R]. Washington，D.C：FAA Syst Res Dev Serv，1977.

[3] ZRNIC D S. Estimation of spectral moments for weather echos[J]. IEEE Trans Geosci Electron，1979，GE-17（4）：113-128.

[4] BRACALENTEE M，BRITT C L，JONESWR. Airborne Doppler Radar Detection of Low Altitude Windshear，NASA CP 10050 Part 1 [R].1990：213-224.

[5] MILLER K，ROCHEWARGER M. A covariance approach to spectral moment estimation[J]. IEEE Trans Infom Theory，1972，18（5）：588-596.

[6] DIAZ J M B，LEIT O J M N. Nonparametric estimation of mean doppler and spectral width[J]. IEEE Trans Geosci Remote Sensing，2000，38（1）：271-282.

[7] SHARMAN R D，DOYLE J D，SHAPIRO M A. An investigation of a commercial aircraft encounter with severe clear -air turbulence over western greenland[J]. Journal of Applied Meteorology and Climatology，2012，51（1）：42-53.

[8] LIGTHART L P，YANOVSKY F J. Adaptive algorithms for radar detection of turbulent zones in clouds and precipitation[J]. IEEE Transactions on Aerospace and Electronic Systems，2003，39（1）：357-367.

[9] STOICA P，MOSES R. Introduction to Spectral Analysis[M]. Upper Saddle River，NJ：Prentice-Hall，1997.

[10] DOVIAK R J，ZRNIC D S. Doppler Radar and Weather Observations[M]. 2nd ed. New York：Academic Press，1993.

[11] ROCKWELL COLLINS. WXR-2100 Manual Book[Z]. Cedar Rapids，2003.

[12] HAYKIN S，LITVA J，SHEPHERD T J. Radar Array Processing[M].Berlin：Springler-Verlag，1993.

[13] BOYER E，LARZABAL P，ADNET C. Parametric spectral moments estimation for wind profiling radar[J]. IEEE Trans On Geoscience and Remote Sensing，2003，41（8）：1859-1868.

[14] ZRNIC D S. Simulation of weatherlike doppler spectra and signals[J]. JAppl Meteor，1975，14（4）：619-620.

[15] SIRMANS D，BUMGARNER B. Numerical comparison of five meanfrequency estimators[J]. Journal of Applied Meteorology，1975，14（6）：991-1003.

[16] YU TIAN-YOU，RICARDO REINOSO RONDINEL，ROBERT D PALMER.Investigationof non-gaussiandopplerspectraobservedbyweather radar in a tornadic supercell[J]. J Atmos Oceanic Technol，2009，26（3）：444-461.