摘要
微型合成孔径雷达实时成像处理系统使用GPU实现,该系统以波数域成像算法为基础,采用两步运动补偿方法补偿无人机平台的运动误差,然后使用相位梯度自聚焦算法补偿残留相位误差。基于NVIDIA公司TX2开发板对实时成像处理系统进行了算法开发与验证,结合GPU特性对成像算法并行化处理,在18.5 s内实现了16k×8k点的数据处理。试验结果验证了实时成像处理系统的有效性。
The mini-SAR real-time imaging processing system uses GPU to implement the wave number domain imaging algo‐rithm.It adopts a two-step motion compensation method to compensate for the motion error of the unmanned aerial vehicle plat‐form,and then uses the phase gradient autofocus algorithm to compensate for the residual phase error.Based on the NVIDIA TX2 development board,this paper develops and verifies the real-time imaging processing system algorithm,and combines the GPU characteristics to parallelize the imaging algorithm.The system achieved data processing of 16k×8k points in 18.5 seconds.Ex‐perimental results have verified the effectiveness of the real-time imaging processing system.
作者
姚森
李和平
白浩琦
Yao Sen;Li Heping;Bai Haoqi(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100190,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《电子技术应用》
2023年第11期160-164,共5页
Application of Electronic Technique
