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基于DPCA-FrFT算法的SAR运动目标参数估计 被引量:6

Parameter estimation of SAR moving target based on DPCA-FrFT algorithm
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摘要 在双通道的工作模式下,结合DPCA技术和分数阶傅立叶变换实现了对SAR运动目标的定位和两个方向(方位向和地面距离向)上速度的估计。首先建立了双通道SAR系统对运动目标的回波信号模型,阐述了动目标DPCA信号为线性调频信号这个特点,并且根据这个特点采用了分数阶傅立叶变换对其进行检测和参数估计。由于DPCA技术具有良好的杂波对消功能以及FrFT对chirp信号的良好检测效果,在不同信噪比情况下,DPCA-FrFT算法都能有效地抑制静止背景、获得良好的测速和定位效果。仿真结果证明了该算法的正确性和有效性。 The localization and velocity estimation in both ground range direction and azimuth direction was realized by approach of combining DPCA technique with fractional Fourier transform (FrFT) in two aperture radar system. A moving point target echo model of two aperture SAR system was established and linear frequency modulated characteristics of the moving target DPCA signal was elaborated. On the basis of this property, FrFT was adopted to detect moving target and estimate parameters. Because of good capability of DPCA technique for clutter cancellation and nice effect of FrFT for chirp signal detection, simulation results show that the proposed DPCA-FrFT algorithm can suppress clutter and achieve localization and velocity estimation in different SNR conditions effectively.
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2008年第2期476-482,共7页 Journal of Jilin University:Engineering and Technology Edition
基金 '863'国家高技术研究发展计划项目(2006AA701413-3) 武器装备预研一般基金项目(9140A21040206HT01)
关键词 信息处理技术 雷达工程 SAR运动目标检测 DPCA技术 分数阶傅立叶变换 information processing radar engineering SAR moving target detection DPCA technique fractional Fourier transform
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