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星载视频SAR模式设计与数据处理

Spaceborne Video SAR Mode Design and Data Processing
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摘要 视频SAR可实现对重点区域持续观测并以视频方式呈现出来,其高帧率成像特性有利于对地面/海面机动目标的实时探测,视频SAR及其相关技术作为一种新颖的SAR观测模式成为近年的研究热点。从合成孔径原理出发,SAR载频越高,方位调频率绝对值越大,实现相同分辨率的合成孔径时间越短,越有利于视频的生成,因此通过合理的系统设计,Ka频段星载SAR具备视频工作的能力。然而星载SAR作用距离远,实现视频观测的几何模型、波位设计方案与机载SAR存在较大差异;此外,星载视频SAR幅宽较大,数据量和处理计算量需求巨大,如何快速实现数据处理是保证图像获取及后续应用时效性必须考虑的问题。本文基于珞珈二号(Luojia-2)SAR载荷和实测数据开展了相关研究,首先基于珞珈二号SAR卫星轨道以及平台能力设计了可实际应用的视频模式波位,其次基于时域成像算法提出了一种适合于星载视频SAR快速成像的流水线处理流程,最后基于珞珈二号实测数据完成了视频SAR成像处理。实测数据处理结果表明所提成像处理流程方法适合于星载视频SAR处理快速成像,可高效完成珞珈二号视频SAR实测数据处理。 The video Synthetic Aperture Radar(SAR)can achieve continuous observation of key areas and present them in a video format.Its high frame rate imaging capability is advantageous for real-time detection of ground and sea-based maneuvering targets.Video SAR and its related technologies have become a research hotspot recently as a novel SAR observation mode.Starting from the principles of synthetic aperture,the higher the SAR carrier frequency,the larger the absolute value of azimuth frequency modulation rate,leading to shorter synthetic aperture time for achieving the same resolution,which is conducive to video generation.However,the higher SAR carrier frequency lead to the larger attenuation of signal transmission.After considering the compromise,the Ka band was selected to realize the spaceborne video SAR.Through a well-designed system,Ka-band space-borne SAR can work on video mode.However,space-borne SAR operates at a long range,and there are significant differences in the geometric model,waveform design result compared to airborne SAR for video observation.Furthermore,space-borne video SAR has a wide swath,requiring large data volumes and significant computational processing.Fast data processing is a crucial consideration for timely image acquisition and subsequent applications.This paper conducts relevant research based on the Luojia-2 SAR payload and measured data.Firstly,a practical video mode waveform is designed based on the Luojia-2 SAR satellite orbit and platform capabilities.Since the orbit of the satellite is ellipse,it is hard to realize long time observation and circular SAR.Spotlight mode is adopted.Meanwhile,since the hardware of SAR payload can work on the variation of PRF(Pulse Repetition frequency),sampling start time and sampling data length mode and it benefits to less data rata,which is adopted in waveform design.Secondly,considering the highly efficient feature of frequency domain imaging algorithm,it is an alternative algorithm in data processing.However,the imaging result of frequency domain imaging algorithm depends on imaging geometry,which is different for different look angle,an extra coregistration procedure is required and lead to low efficiency and large error,a pipeline processing procedure suitable for rapid imaging of space-borne video SAR based on time-domain imaging algorithms is proposed.Benefits from the high efficiency of CFBP(Cartesian Factorized BP)algorithm and pipeline processing with GPU(Graphics Processing Unit)acceleration,it can achieve fast data processing for space-borne video SAR.Finally,video SAR imaging processing is completed based on the measured data of Luojia-2.From the imaging results,a cargo ship is clearly observed near the river,which is moving close to the shore.This experiment realizes the acquisition and imaging processing of space-borne Ka-band video SAR data for the first time,demonstrates the real-time detection capability of space-based video SAR on ground/sea surface maneuvering targets,and the imaging result is clear and complete,which verifies the correctness of the proposed spaceborne video SAR fast imaging algorithm.The shortcomings and improvement directions of this study includes the hardware(DSP and FPGA)implementation and real-time processing development of the algorithm.
作者 孙晗伟 肖枫 景茂强 何德华 张过 祖家国 于松柏 张庆君 肖汉 SUN Hanwei;XIAO Feng;JING Maoqiang;HE Dehua;ZHANG Guo;ZU Jiaguo;YU Songbai;ZHANG Qingjun;XIAO Han(Beijing Institute of Radio Measurement,Beijing 100854,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing of Wuhan University,Wuhan,Hubei 430079,China;Institute of Remote Sensing Satellites(IRSS)of the China Academy of Space Technology(CAST),Beijing 100094,China)
出处 《信号处理》 CSCD 北大核心 2024年第1期207-215,共9页 Journal of Signal Processing
基金 国家自然科学基金(61971042)。
关键词 视频SAR 星载SAR 珞珈二号 video SAR spaceborne SAR Luojia-2
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