空间激光通信视频压缩感知传输实验设计  

Experimental Design of Video Compressive Sensing Transmission for Space Laser Communication

作　　者：李金旺 姚海峰 董科研[1,3] 杨宇光 宋延嵩[3] 安岩[3] 刘天赐 Li Jinwang;Yao Haifeng;Dong Keyan;Yang Yuguang;Song Yansong;An Yan;Liu Tianci(School of Opto-Electronic Engineering,Changchun University of Science and Technology,Changchun 130022,Jilin,China;School of Optics and Photonics,Beijing Institute of Technology,Beijing 100081,China;Institute of Space Photo-Electronic Technology,Changchun University of Science and Technology,Changchun 130022,Jilin,China;Beijing Institute of Remote Sensing Equipment,Beijing 100039,China)

机构地区：[1]长春理工大学光电工程学院,吉林长春130022 [2]北京理工大学光电学院,北京100081 [3]长春理工大学空间光电技术研究所,吉林长春130022 [4]北京遥感设备研究所,北京100039

出　　处：《光学学报》2024年第13期44-52,共9页Acta Optica Sinica

基　　金：科技部国家重点研发计划(2021YFA0718804,2022YFB3902500);吉林省重大科技专项课题(20230301002GX,20230301001GX);国家自然科学基金(U2141231,62105029);中国科协青年人才托举工程(YESS20220600)。

摘　　要：提出一种应用于空间激光通信视频传输的压缩感知算法,基于视频流的帧间图像质心特征差异和图像分块与图像质心的相对距离对测量矩阵与分块采样率进行优化,并基于现场可编程门阵列搭建视频压缩感知模拟系统,进行空间光视频数据传输实验。实验结果表明,当采样率为0.2时,对比传统分块压缩感知算法,所提算法得到的重构图像峰值信噪比提升5 dB以上,结构相似度提高8%以上。所提算法能够提高有限数据下的图像采样效率,有效提升重构图像质量。Objective Space laser communication technology combines the advantages of fast laser communication speed, wide bandwidth range, good confidentiality, and flexible application in wireless communication. It has gradually been widely utilized and has become a major research hotspot. Optical communication video transmission is undoubtedly an important application scenario for space laser communication. Traditional video transmission methods can deal with cumbersome image data, especially in scenarios such as inter-satellite and satellite-to-ground communications, where data acquisition is challenging. This often causes problems in data transmission and storage, adding considerable stress to storage units.Compressive sensing technology, which combines sampling and compression, bypasses the Nyquist sampling theorem,significantly reducing data in the link and alleviating pressure on the transmission channel. Although the current traditional block compressive sensing(BCS) algorithm improves the processing speed of compression reconstruction, it applies a unified sampling rate to each block, despite the different image information contained in different blocks. When the image content is divided into target and background, then the current processing mechanism typically under-samples the target and over-samples the background, leading to low data utilization and suboptimal reconstructed image quality. Therefore,we need to consider the status of different image blocks and further optimize the algorithm.Methods We focus on space laser communication video transmission. It uses the image centroid as the judgment feature value, calculates the centroid error between frames, and evaluates the changing speed of the image block. This approach helps determine the sampling rate for the current frame image and generate a measurement matrix by reducing the sampled data for blocks with high inter-frame correlation and increasing the sampling rate for blocks with low inter-frame correlation and overall data utilization. Then, we use FPGA

关 键 词：光通信 视频传输 大气信道 压缩感知 现场可编程门阵列 

分 类 号：TN929.1[电子电信—通信与信息系统]