太赫兹科学与电子信息学报2024，Vol.22Issue(2)：105-113,9.DOI:10.11805/TKYDA2022166
部分均匀环境下基于几何中心的扩展目标检测
Adaptive detection for distributed targets based on geometric median in partially homogeneous environment
摘要
Abstract
To solve the problem of adaptive detection for distributed targets in partially homogeneous environment with outliers and limited samples,a class of adaptive detectors are designed based on geometric median in this paper.The first step is to construct a data selector based on geometric median generalized inner product and eliminate sample data containing outliers.The second step is to construct detection statistics of the generalized adaptive subspace detector using covariance matrix estimators,which are based on geometric median.The detectors utilize geometric median of the positive definite matrix space without any knowledge of prior probability distribution of sample data.The performance of the proposed two-step detectors is evaluated in terms of the probabilities of correct outliers excision,false alarm,and detection.Experiment results based on simulated and real data show that the proposed approach has better detection performance than the existing ones based on traditional covariance estimator.关键词
自适应检测/几何中心/扩展目标/部分均匀环境Key words
adaptive detection/geometric median/distributed targets/partially homogeneous environment分类
信息技术与安全科学引用本文复制引用
叶行,王永良,刘维建,刘军,陈辉..部分均匀环境下基于几何中心的扩展目标检测[J].太赫兹科学与电子信息学报,2024,22(2):105-113,9.基金项目
国家自然科学基金资助项目(62071482) （62071482）
安徽省自然科学基金资助项目(2208085J17) （2208085J17）
