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基于DPCA、ATI和MUSIC的动目标检测方法
引用本文:魏俊,毛士艺,袁运能. 基于DPCA、ATI和MUSIC的动目标检测方法[J]. 系统工程与电子技术, 2005, 27(6): 964-967
作者姓名:魏俊  毛士艺  袁运能
作者单位:北京航空航天大学电子信息工程学院,北京,100083
摘    要:针对SAR(合成孔径雷达)动目标检测,提出一种DPCA(中心相位偏置天线)、ATI(沿迹干涉)和MUSIC(多信号分类)相结合的三孔径动目标检测方法。该方法首先采用DPCA技术消除杂波干扰、检测运动目标,然后用ATI和MUSIC方法确定目标的位置和速度。理论分析和计算机仿真表明,该方法是有效的,不仅能够检测运动目标,而且能够精确估计其运动参数。

关 键 词:中心相位偏置天线  沿迹干涉  多信号分类  动目标检测
文章编号:1001-506X(2005)06-0964-04
修稿时间:2004-04-15

New GMTI algorithm based on DPCA, ATI and MUSIC
WEI Jun,MAO Shi-yi,YUAN Yun-neng. New GMTI algorithm based on DPCA, ATI and MUSIC[J]. System Engineering and Electronics, 2005, 27(6): 964-967
Authors:WEI Jun  MAO Shi-yi  YUAN Yun-neng
Abstract:In the past few years, GMTI (ground moving targets indication) has become the focus of the SAR (synthetic aperture radar) research. Displaced phase centre antenna (DPCA), along-track interferometer (ATI) and space-time adaptive processing (STAP) techniques have been developed to detect the moving targets. After the analysis of DPCA and ATI, a new three-aperture GMTI algorithm based on DPCA, ATI and multiple signal classification (MUSIC) techniques is proposed. At first, DPCA is employed to suppress the clutter and detect the moving targets, then MUSIC and ATI are used to precisely estimate their number and calculate their positions and velocity. The theoretical analysis and simulation results show that the new algorithm is effective and can not only detect the moving targets but also estimate their motion parameters precisely.
Keywords:displaced phase centre antenna  along-track interferometer  multiple signal classification  ground moving targets indication
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