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基于人工智能的合成孔径成像激光雷达成像系统

Synthetic aperture imaging lidar imaging system based on artificial intelligence
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摘要 针对当前SAL成像相关研究成果存在的成像性能待优化等问题,提出并设计基于人工智能的合成孔径成像激光雷达成像系统。依据成像系统框架设计,以成像的关键技术和软件为主进行分析。结合人工智能具备的优势,通过人工智能MATLAB工具利用计算机进行编程实现系统模拟成像。在成像过程中,依据系统设计需求和成像目标对系统参数以及参考点坐标进行设置,基于设置参数得到成像范围内散射点与信号接收孔径在扫描范围内两个方向上数据样本采集的数量。针对各散射点,对参考信号中频信号与散射点回波信号中频信号进行计算,利用计算结果获取合成孔径处理中所需的差频信号。当获得所有采样点差频信号,对下个散射点相应差频信号进行计算,直到获得成像过程中需要的全部回波信号,在二维方向上对回波信号实行傅里叶变换成像算法,根据信号接收空间与目标空间的转换得到目标图像。实验结果显示,所建系统距离向与方位向聚焦状况良好,成像效果优越,可靠性强。 An artificial intelligence-based synthetic aperture imaging lidar imaging system is proposed and designed to solve the problems of imaging performance optimization existing in the current SAL imaging research results.According to the frame design of imaging system,the key technology and software of imaging are analyzed.Combined with the advantages of artificial intelligence,the system simulation and imaging are realized by using computer programming with artificial intelligence MATLAB tool.During the imaging process,system parameters and reference point coordinates are set according to system design requirements and imaging objectives.Based on the setting parameters,the number of data samples collected in the two directions of scattering points within the imaging range and signal receiving aperture within the scanning range is obtained.According to the scattering points,the frequency signal of reference signal and scattering point echo signal are calculated,and the difference frequency signal needed in synthetic aperture processing is obtained.When obtaining the difference frequency signals of all sampling points,the corresponding difference frequency signals of the next scattering point are calculated,and until all the echo signals needed in the imaging process are obtained.The Fourier transform imaging algorithm is applied to the echo signals in two-dimensional direction,and the target image is obtained according to the conversion of signal receiving space and target space.The experimental results show that the system is well focused in the direction of distance and azimuth,with excellent imaging effect and strong reliability.
作者 谭晓芳 章丽霞 TAN Xiaofang;ZHANG Lixia(Nanchang Institute of Technology,Nanchang 330044,China;Jinling College,Nanjing University,Nanjing 210089,China)
出处 《激光杂志》 北大核心 2020年第7期113-117,共5页 Laser Journal
基金 江西省教育厅科学技术研究项目(No.GJJ180993)。
关键词 人工智能 合成孔径 激光雷达 成像系统 artificial intelligence synthetic aperture lidar imaging system
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