In this paper,a wind speed estimation method is proposed based on matrix information geometric sample selection and joint domain localized(JDL)processing for airborne weather radar to accurately estimate wind speed of low-level wind shear in non-uniform clutter environment.Firstly,the characteristic information of radar echo sig-nals are extracted to model the signals as a matrix manifold.Then,geometric mean matrices are estimated by selec-ting geometric metric methods,and the similarity between geometric mean matrices and training samples are calcu-lated using the generalized inner product(GIP)method.Samples with high similarity are selected to estimate the clutter covariance matrices for the units to be detected.Finally,dimensionality reduction of the clutter covariance matrices is performed through dimensionality reduction matrix constructed using the JDL method,based on which a dimensionality reduction processor is constructed to suppress non-uniform clutter,thus achieving wind speed estima-tion of low-level wind shear.
airborne weather radarmatrix information geometrylow-level wind shearwind speed estimation
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