摘要
针对通道幅相误差和图像配准误差等非理想因素导致动目标径向速度估计性能下降问题,本文提出利用维纳滤波最优权修正导向矢量的动目标径向速度估计方法.该方法利用抑制杂波的维纳滤波最优权矢量对动目标理想导向矢量加权处理获得修正导向矢量,并采用匹配滤波算法估计动目标径向速度.仿真数据和某机载多通道SAR-GMTI实测数据处理表明,所提方法对通道幅相误差和图像配准误差稳健,在图像相邻像素存在较大相关性时仍可获得较高的动目标径向速度估计精度.
For the purpose of overcoming the influence of non-ideal factors on the performance of the radial velocity estimation,such as the channel gain and phase response error and image registration error,a new match filtering algorithm based on modifying the steering vector with the optimal weights for Wiener filtering is proposed.The validity and superiority of this method are experimentally verified by the simulated and real synthetic aperture radar（SAR） data.The results illustrate this method has a good robustness to image registration error,channel response error and the pixel correlation of the SAR image.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2011年第9期1986-1991,共6页
Acta Electronica Sinica
基金
长江学者和创新团队发展计划资助(No.IRT-0954)
国家自然科学基金(No.60901066
No.60825104)
国防预研基金(No.9140C0101081001)
关键词
地面运动目标检测
杂波抑制
参数估计
ground moving target detection
clutter rejection
target parameter estimation
