摘要
无人机的运动不是很平稳,而国内无人机上的惯性导航系统都不是很精确,为了得到理想的图像,文中根据回波的响应函数曲线估计斜视角,进而得到多普勒中心值,并通过分析多普勒调频率与载机运动误差的关系,实现运动补偿。该方法完全依靠原始数据得到多普勒参数,并采用改进的R-D算法得到了较好的成像图像。
The motion of a UAV is not stable and the inertia navigation system(INS) onboard a UAV is not accurate enough. In order to obtain precise SAR images, this paper estimates the squint angle based on the response curve of radar echoes, then the Doppler eentroid is obtained. According to the relationship between the Doppler chirp rate and the motion deviation of a UAV, motion compensation is achieved. This method is based on the raw data only, and the upgraded R-D algorithm can be adopted to get high quality SAR images.
出处
《雷达科学与技术》
2007年第6期431-435,共5页
Radar Science and Technology
基金
国家自然科学基金(No:60502044)