摘要
条带SAR运动补偿技术一直是无人机载高分辨雷达成像的难点之一,传统基于导航信息的运动补偿方法往往不能满足要求。本文融合CS与PGA算法,提出了一种高精度、低成本无人机载高分辨条带SAR运动补偿方法。该方法具备高精度距离徙动校正、二次距离压缩能力,能够不依赖导航信息完成对SAR平台非理想运动的高精度补偿。利用两部国产X波段无人机载SAR实测数据对该方法进行验证,实验表明该方法对不同分辨率、不同成像场景SAR数据均具有很好的聚焦效果。与MD算法相比,该方法能够补偿高阶相位误差,处理后SAR图像的目标边缘轮廓更为清晰明显,细节信息更为丰富完整。
Stripmap SAR motion compensation is always the crux in high performance radar imaging of UAV. The techniques based navigation information couldn’t meet the requirements. Combined CS and PGA algorithm, a stripmap SAR motion compensation algorithm of low cost and high performance is proposed. The technique has the ability of high-precision range migration correction and secondary range compression, and can complete the high-precison compensation for the non ideal motion of SAR platform without navigation information. Two national X-band UAV airborne SAR data are used to testify the algorithm. The experiments show that the proposed technique is adaptive to different resolutions and different scene types, and is able to enhance SAR image quality greatly. Compared with MD algorithm, the technique can compensate the high-order phase error, and target edge contour of SAR image is clearer and more complete after processing.
作者
范波
姜志杰
陈力
李洪钧
何焱
Fan Bo;Jiang Zhijie;Chen Li;Li Hongjun;He Yan(National Innovation Institute of Science and Technology,Academy of Military Sciences,Beijing 100071,China)
出处
《航空兵器》
CSCD
北大核心
2019年第6期50-55,共6页
Aero Weaponry
