摘要
车载前视步进频率虚拟孔径雷达受运动速度影响会造成目标图像散焦,严重影响目标图像特征提取。该文通过建立点目标回波模型,分析车辆速度对成像影响的同时给出了速度补偿等效原理,并在此基础上提出了基于目标ROI图像紧致度最优的速度补偿方法,有效改善了补偿效果,增强了目标特征一致性,仿真和实测数据处理结果均验证了该方法的有效性。
The moving speed can cause the target image to disperse in the vehicle-mounted forward-looking virtual aperture radar using stepped frequency and it could heavily infect image feature extraction of target.In this paper,the influence on imaging introduced by vehicle moving is analyzed basing on an ideal point model,and then the equivalent principle of speed compensating is brought forward.Basing on the analyses discussed upon,a new method of speed compensation,which will make the compactness of the Range Of Interest（ROI） image optimal,is introduced.This method can not only enhance the speed compensation efficiency,but also improve the stability of the feature extraction.Both the simulation data and the practical data prove the effectiveness of the method mentioned above.
出处
《电子与信息学报》
EI
CSCD
北大核心
2011年第8期1803-1808,共6页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60972121)
全国优秀博士学位论文作者专项资金(201046)资助课题
关键词
雷达图像处理
步进频率
虚拟孔径
速度补偿
特征提取
Radar image processing
Stepped frequency
Virtual aperture
Speed compensation
Feature extraction
