Multiple Doppler Channels Joint Adaptive Processing Based Central Wind Speed Estimation for Microburst

LI Hai; ZHOU Meng; CHEN Xiaoqian; WU Renbiao

doi:10.11999/JEIT161094

Volume 39 Issue 7

Jul. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(7): 1619-1625

LI Hai, ZHOU Meng, CHEN Xiaoqian, WU Renbiao. Multiple Doppler Channels Joint Adaptive Processing Based Central Wind Speed Estimation for Microburst[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1619-1625. doi: 10.11999/JEIT161094

Citation:

LI Hai, ZHOU Meng, CHEN Xiaoqian, WU Renbiao. Multiple Doppler Channels Joint Adaptive Processing Based Central Wind Speed Estimation for Microburst[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1619-1625. doi: 10.11999/JEIT161094

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Multiple Doppler Channels Joint Adaptive Processing Based Central Wind Speed Estimation for Microburst

doi: 10.11999/JEIT161094

Funds:

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

Received Date: 2016-10-17
Rev Recd Date: 2017-04-10
Publish Date: 2017-07-19

Abstract

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.
- Airborne weather radar,
- Microburst,
- Wind speed estimation,
- Multiple channels joint adaptive processing

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References(26)

References

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