电子学报2017，Vol.45Issue(12)：3019-3024,6.DOI:10.3969/j.issn.0372-2112.2017.12.026
一种基于AR模型的矩阵CFAR检测器
A Matrix CFAR Detector Based on AR Model
摘要
Abstract
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.关键词
信息几何/AR模型/测地线距离/飞机尾流Key words
information geometry/AR model/geodesic distance/aircraft wake vortex分类
信息技术与安全科学引用本文复制引用
赵兴刚,郑岱堃,王首勇,刘俊凯..一种基于AR模型的矩阵CFAR检测器[J].电子学报,2017,45(12):3019-3024,6.基金项目
国家自然科学基金(No.61179014,No.61302193) （No.61179014,No.61302193）
青年科学基金(No.61302193) （No.61302193）
