摘要
针对机载多通道合成孔径雷达(synthetic aperture radar,SAR)在方位孔径受限下地面慢速扩展目标检测性能下降的问题,提出了基于张量积的慢速扩展目标检测和径向速度估计方法。该方法首先在SAR图像域对多通道数据进行张量积操作;然后对扩展目标分布区域的张量数据利用修正的信号拟合方法(tensor product-modified signal fitting,TP-MSF)检测慢速运动目标,并估计目标径向速度,能有效避免天线方位孔径较小情况下传统自适应匹配滤波方法检测性能下降问题。仿真结果表明,该方法能显著提高低速区的动目标检测概率,同时具有径向速度估计精度高的特点。
The detection performance of the ground slow extended target will drop for multi-channel airborne syn-thetic aperture radar （SAR）in the case of the limited aperture,a new detection and radial velocity estimation method of the ground slow extended moving target is presented based on tensor product （TP）.Firstly,TP operation is used for multi channel data in the SAR image domain.Secondly,the modified signal fitting method is used for the TP data of the extended target to detect the slow moving target and estimate the radical velocity,which can effectively avoid the prob-lem of performance degradation for the traditional adaptive matched filter under the condition of the limited azimuth ap-erture.The simulation results indicate that the proposed method can significantly improve the moving target detection probability in the low velocity and has high estimation precision of radial velocity.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2015年第10期2244-2249,共6页
Systems Engineering and Electronics
基金
国家自然科学基金(60901066)
中央高校基本科研业务费专项资金(K5051302007)
陕西省教育厅科研计划项目(2013JK1051)
西安科技大学校培育基金(201354)资助课题
关键词
地面运动目标检测
扩展目标
自适应匹配滤波
张量积
ground moving target indication
extended target
adaptive match filtering
tensor product
