Adaptive detection based on orthogonal partition of the primary and secondary data  

作　　者：Weijian Liu Wenchong Xie Yongliang Wang 

机构地区：[1]College of Electronic Science and Engineering,National University of Defense Technology [2]Air Force Early Warning Academy

出　　处：《Journal of Systems Engineering and Electronics》2014年第1期34-42,共9页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61102169);the Outstanding Youth Fund of the National Natural Science Foundation of China(60925005)

摘　　要：A novel adaptive detection scheme both for point-like and distributed targets in the presence of Gaussian disturbance in the partial y homogeneous environment （PHE） is proposed. The novel detection scheme is based on the orthogonal projection technique. Both the case of known covariance matrix structure and the case of unknown covariance matrix structure are con-sidered. For the former case, the closed-form statistical pro-perty of the novel detectors is derived. When the covariance matrix is unknown, the corresponding detectors have higher probabilities of detection （PDs） than their natural competitors. Moreover, they ensure constant false alarm rate （CFAR） property.A novel adaptive detection scheme both for point-like and distributed targets in the presence of Gaussian disturbance in the partial y homogeneous environment （PHE） is proposed. The novel detection scheme is based on the orthogonal projection technique. Both the case of known covariance matrix structure and the case of unknown covariance matrix structure are con-sidered. For the former case, the closed-form statistical pro-perty of the novel detectors is derived. When the covariance matrix is unknown, the corresponding detectors have higher probabilities of detection （PDs） than their natural competitors. Moreover, they ensure constant false alarm rate （CFAR） property.

关 键 词：partially homogeneous environment （PHE） orthogo-nal partition orthogonal projection. 

分 类 号：TN911.4[电子电信—通信与信息系统]