Generalized Adjacent Multi-beam Adaptive Processing Based Low-altitude Wind-shear Wind Speed Estimation under Aircraft Yawing

Hai LI; Yijing LI; Renbiao WU

doi:10.11999/JEIT180758

Volume 41 Issue 7

Jul. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(7): 1728-1734

Hai LI, Yijing LI, Renbiao WU. Generalized Adjacent Multi-beam Adaptive Processing Based Low-altitude Wind-shear Wind Speed Estimation under Aircraft Yawing[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1728-1734. doi: 10.11999/JEIT180758

Citation:

Hai LI, Yijing LI, Renbiao WU. Generalized Adjacent Multi-beam Adaptive Processing Based Low-altitude Wind-shear Wind Speed Estimation under Aircraft Yawing[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1728-1734. doi: 10.11999/JEIT180758

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Generalized Adjacent Multi-beam Adaptive Processing Based Low-altitude Wind-shear Wind Speed Estimation under Aircraft Yawing

doi: 10.11999/JEIT180758

Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China

Funds: The National Natural Science Foundation of China (61571442, 61471365, U1633106), The Foundation for Sky Young Scholars of Civil Aviation University of China, The National University’s Basic Research Foundation of China (3122017007)

Received Date: 2018-08-03
Rev Recd Date: 2019-01-11

Available Online: 2019-02-14

Publish Date: 2019-07-01

Abstract

Abstract

This paper presents a method of low-altitude wind-shear speed estimation based on Generalized adjacent Multi-Beam (GMB) adaptive processing under aircraft yawing. The clutter range-dependence compensation method based on echo data is first used to correct the range dependence of clutter for estimating the clutter covariance matrix. Then the dimension-reduced transform matrix is calculated by combining adjacent multiple beams in the airspace and adjacent multiple Doppler channels in time domain simultaneously, and the radar echo data of the measured range bin is reduced in dimension, and then the optimal weight vector of the GMB adaptive processor is constructed to filter adaptively the dimension-reduced data. Finally, the accurate estimation of the wind speed under the aircraft yawing is got. The simulation results show that the proposed method can obtain an effective estimation of wind speed under aircraft yawing.
- Airborne weather radar,
- Aircraft yawing,
- Low-altitude wind-shear,
- Generalized adjacent Multi-Beam (GMB),
- Wind speed estimation

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References(14)

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