The matrix constant false alarm rate (CFAR)detector uses the geodesic distance between the correlation matrix of the test cell and matrix Riemannian mean of the reference cells to detect target according to the information geometry theory.Based on the one-to-one corresponding relations between correlation matrix and AR(Auto-Regressive) spectrum

an improved matrix CFAR detector based on AR model is proposed with the distance between two matrices changed by the distance between two AR spetrums.The proposed detector is of higher frequency resolution and detects the spectrum of wake vortex in whole

fully taking advantage of the Doppler information of wake vortex.The detection performance of the proposed method and traditional methods is compared by using actual measured wake vortex data.