基于多通道联合自适应处理的微下击暴流中心风速估计方法

doi:10.11999/JEIT161094

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Abstract

When the airborne weather radar detects microburst field, the echoes of wind field are usually submerged by strong background clutter. In this paper, a novel method of wind speed estimation of microburst based on pre-filtering based reduced rank STAP approach is proposed. The method constructs reduced-rank adaptive processors for distributed meteorologic target to achieve clutter suppression and signal matching, and to obtain the wind speed of the microburst field. The experimental results show that the proposed method can achieve clutter suppression and get accurate wind speed estimation with low computational burden.

Key words： Airborne weather radar Microburst Wind speed estimation Multiple channels joint adaptive processing

Received: 17 October 2016 Published: 11 May 2017

PACS:

TN959.4

Fund:

The National Natural Science Foundation of China (61471365, U1633106, 61231017), The Foundation for Sky Young Scholars of Civil Aviation University of China, The National University’s Basic Research Foundation of China (3122017006)

Corresponding Authors: LI Hai E-mail: haili@cauc.edu.cn

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	LI Hai
	ZHOU Meng
	CHEN Xiaoqian
	WU Renbiao

Cite this article:

LI Hai,ZHOU Meng,CHEN Xiaoqian等. Multiple Doppler Channels Joint Adaptive Processing Based Central Wind Speed Estimation for Microburst[J]. JEIT, 2017, 39(7): 1619-1625.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT161094 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I7/1619

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