Compressive sensing-based wind speed estimation for low-altitude wind-shear with airborne phased array radar

Authors

Hai Li, Civil Aviation University of China
Meng Zhou, Civil Aviation University of China
Qinghua Guo, University of WollongongFollow
Ren Biao Wu, Civil Aviation University of China
Jiangtao Xi, University of WollongongFollow

RIS ID

114539

Publication Details

H. Li, M. Zhou, Q. Guo, R. Wu & J. Xi, "Compressive sensing-based wind speed estimation for low-altitude wind-shear with airborne phased array radar," Multidimensional Systems and Signal Processing, vol. 29, (2) pp. 719-732, 2018.

Abstract

An important issue in low-altitude wind-shear detection is to estimate the wind speed of wind field. In this paper, a novel method for wind speed estimation with airborne phased array radar is proposed by combining space time adaptive processing and compressive sensing. The proposed method is able to achieve accurate wind speed estimate in the condition of limited number of sampling pulses, as demonstrated by numerical examples.