摘要
利用多通道SAR系统进行运动目标指示时,通道间的幅相失配严重影响了运动目标检测以及参数估计的性能。针对多通道低频SAR/GMTI系统,提出了一种基于子孔径SAR图像的多通道均衡方法。该方法利用相同视角的多通道子孔径图像,估计该角度对应的幅相误差,在达到较高幅相误差估计精度的同时,也能适应误差随视角的变化。基于车载低频多通道SAR/GMTI实测数据的实验结果表明:该方法能有效地补偿不同通道之间的幅相误差,提高运动目标的检测和参数估计性能。
When the multi-channel SAR system is used for moving target indication,the imbalance in amplitude and phase among channels severely affects the performance of moving target detection and parameter estimation. For multi-channel low frequency SAR/GMTI system,a multi-channel equalization method based on subaperture image was proposed. The method makes use of multi-channel subaperutre images with the same view-angle,and estimates the amplitude and phase errors related to this view-angle at the same time. It can estimates the amplitude and phase errors accurately and adapts to the errors changing with the view-angle. The experiment based on vehicle-borne low frequency multi-channel SAR/GMTI real data demonstrates that this method can effectively compensate for the amplitude and phase errors among different channels and improve the performance of moving target detection.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2010年第4期78-83,共6页
Journal of National University of Defense Technology
基金
国家部委资助项目
教育部新世纪优秀人才支持计划资助项目(NCET-07-0223)
