Performance of Minimum Mean-Square Error Beam Forming for Polarimetric Phased Array Weather Radar

被引:9
作者
Kikuchi, Hiroshi [1 ]
Wu, Ting [2 ]
Yoshikawa, Eiichi [3 ]
Ushio, Tomoo [1 ]
Goto, Hideto [4 ]
Mizutani, Fumihiko [4 ]
Wada, Masakazu [4 ]
Chandrasekar, V. [5 ]
机构
[1] Osaka Univ, Osaka 5650871, Japan
[2] Gifu Univ, Gifu 5011193, Japan
[3] Japan Aerosp Explorat Agcy, Tokyo 1810015, Japan
[4] Toshiba Co Ltd, Tokyo 2128581, Japan
[5] Colorado State Univ, Ft Collins, CO 80523 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2017年 / 55卷 / 05期
关键词
Adaptive signal processing; phased array radar; polarimetric radar; remote sensing; PULSE-COMPRESSION; SIMULATION;
D O I
10.1109/TGRS.2017.2653816
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
In this paper, the development of a polarimetric phased array weather radar, which consists of a dual-polarized antenna with 2-D circular planar phase-array elements, is discussed. The radar is capable of measuring the 3-D rainfall distribution in less than several tens of seconds. Digital beam-forming (DBF) is an important component in the development process of the phased array radar. In this paper, precipitation radar signal simulations are performed taking into consideration radar concepts in order to discuss the estimation accuracy of polarimetric precipitation profiles (differential reflectivity, specific differential phase, and copolar correlation coefficient) with two DBF methods that are based on Fourier and minimum mean-square error (MMSE) methods. A comparison of the performance of the two methods indicates that MMSE is superior in accuracy because of the effect of a stable and a robust main lobe and adaptively suppressed side lobes. MMSE also provides precipitation measurements eliminating the directional dependence of a beam pattern for improving the accuracy of measurements. It is also shown that the estimated accuracies of the precipitation profiles are almost independent of the number of pulses.
引用
收藏
页码:2757 / 2770
页数:14
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