雷达科学与技术2025，Vol.23Issue(1)：67-74,8.DOI:10.3969/j.issn.1672-2337.2025.01.007
基于随机矩阵建模的低空飞行器跟踪方法
Low-Altitude Aircraft Tracking Method Based on Random Matrix Modeling
摘要
Abstract
In recent years,the frequency of low-altitude aircraft employment has been increasing for tasks like environmental surveys and emergency rescues.While creating well social and economic benefits,it also brings pressure of airspace supervision.To address the tracking and identification of low-altitude aircraft with extension shape using high-resolution airspace supervision radars,a random matrix modeling-based method on the aircraft tracking and its extension shape parameters estimation is proposed in this paper.Firstly,with the characteristics that the high-resolution radar gets multiple measurements per scan when detecting the extended aircraft whose extension shape can be approximate to ellip-soid,its extension shape is modeled by introducing a symmetric positive definite random matrix which can characterize ellipsoid.Then,based on Gaussian Inverse Wishart filtering,the estimates of the aircraft's kinematic state and exten-sion shape matrix can be achieved.Finally,the eigenvalue decomposition on the estimated extension shape matrix is per-formed.The square roots of the resulting eigenvalues and the eigenvector corresponding to the maximum eigenvalue are respectively viewed as the aircraft's half-axis sizes and main-axis direction.Thus,the online estimation of the aircraft's extension shape parameters is realized.The simulation experiment results show that the method has well performance on tracking low-altitude aircraft,enabling it to provide information support for identifying low-altitude aircraft with exten-sion shape.关键词
低空飞行器/运动状态/扩展外形/随机矩阵/特征值分解Key words
low-altitude aircraft/kinematic state/extension shape/random matrix/eigenvalue decomposition分类
电子信息工程引用本文复制引用
李坤坤,程婕,张智香,胡爽,吴力华..基于随机矩阵建模的低空飞行器跟踪方法[J].雷达科学与技术,2025,23(1):67-74,8.基金项目
国家自然科学基金面上项目(No.12472359) （No.12472359）
