MMSE Beam Forming on Fast-Scanning Phased Array Weather Radar

被引:91
作者
Yoshikawa, Eiichi [1 ,2 ]
Ushio, Tomoo [1 ]
Kawasaki, Zen [1 ,3 ]
Yoshida, Satoru [1 ]
Morimoto, Takeshi [1 ]
Mizutani, Fumihiko [4 ]
Wada, Masakazu [4 ]
机构
[1] Osaka Univ, Osaka 5650871, Japan
[2] Colorado State Univ, Ft Collins, CO 80523 USA
[3] Egypt Japan Univ Sci & Technol E JUST, Alexandria 21934, Egypt
[4] Toshiba Co Ltd, Tokyo 2128581, Japan
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2013年 / 51卷 / 05期
关键词
Distributed targets; fast-scanning weather radar; phased array digital beam forming (DBF); PULSE-COMPRESSION; SIMULATION;
D O I
10.1109/TGRS.2012.2211607
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A fast-scanning phased array weather radar (PAWR) with a digital beam forming receiver is under development. It is important in beam forming for weather radar observation with temporally high resolution to form a stable and robust main lobe and adaptively suppress sidelobes with a small number of pulses in order to accurately estimate precipitation profiles (reflectivity, mean Doppler velocity, and spectral width). A minimum mean square error (MMSE) formulation with a power constraint, proposed in this paper, gives us adaptively formed beams that satisfy these demands. The MMSE beam-forming method is compared in various precipitation radar signal simulations with traditional beam-forming methods, Fourier and Capon methods, which have been applied in atmospheric research to observe distributed targets such as precipitation, and it is shown that the MMSE method is appropriate to this fast-scanning PAWR concept.
引用
收藏
页码:3077 / 3088
页数:12
相关论文
共 31 条
[1]   A MOBILE, PHASED-ARRAY DOPPLER RADAR FOR THE STUDY OF SEVERE CONVECTIVE STORMS THE MWR-05XP [J].
Bluestein, Howard B. ;
French, Michael M. ;
PopStefanija, Ivan ;
Bluth, Robert T. ;
Knorr, Jeffrey B. .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2010, 91 (05) :579-+
[2]  
Blunt Shannon D., 2007, 2007 IEEE Radar Conference, P116, DOI 10.1109/RADAR.2007.374201
[3]   Adaptive pulse compression via MMSE estimation [J].
Blunt, Shannon D. ;
Gerlach, Karl .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2006, 42 (02) :572-584
[4]   Robust DOA Estimation: The Reiterative Superresolution (RISR) Algorithm [J].
Blunt, Shannon D. ;
Chan, Tszping ;
Gerlach, Karl .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2011, 47 (01) :332-346
[5]  
Bringi V.N., 2001, POLARIMETRIC DOPPLER, P222
[6]   HIGH-RESOLUTION FREQUENCY-WAVENUMBER SPECTRUM ANALYSIS [J].
CAPON, J .
PROCEEDINGS OF THE IEEE, 1969, 57 (08) :1408-&
[7]   SCIENTIFIC AND ENGINEERING OVERVIEW OF THE NASA DUAL-FREQUENCY DUAL-POLARIZED DOPPLER RADAR (D3R) SYSTEM FOR GPM GROUND VALIDATION [J].
Chandrasekar, V. ;
Schwaller, Mathew ;
Vega, Manuel ;
Carswell, James ;
Mishra, Kumar Vijay ;
Meneghini, Robert ;
Cuong Nguyen .
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, :1308-1311
[8]  
Chandrasekar V., 1986, Preprints 23rd Conf. Radar Met., AMS, P193
[9]   Pulse pair beamforming and the effects of reflectivity field variations on imaging radars -: art. no. RS3014 [J].
Cheong, BL ;
Hoffman, MW ;
Palmer, RD ;
Frasier, SJ ;
López-Dekker, FJ .
RADIO SCIENCE, 2004, 39 (03) :RS3014-1
[10]  
Cheong BL, 2004, J ATMOS OCEAN TECH, V21, P374, DOI 10.1175/1520-0426(2004)021<0374:EASFHR>2.0.CO