星地双基地SAR观测模式与成像处理研究OA
Research on the Mode and Imaging Processing of Space-surface Bistatic SAR
星地双基地合成孔径雷达(SAR)利用在轨卫星作为非合作照射源,具有高时效、多维信息获取和多频融合等优势.然而,其收发分置的几何构型导致成像性能具有显著空变特性,且不同观测模式对系统分辨率、信噪比等关键性能存在影响.为此,本文研究了星地双基地SAR的多观测模式与成像处理.首先,对比分析了条带模式与滑动扫描观测(TOPS)模式的工作原理及特性;其次,进行星地双基地SAR(SS-BSAR)系统的二维分辨率与信噪比性能分析;最后,利用适用于非合作模式 SS-BSAR 成像处理方法,基于 LT-1(条带模式)与 Sentinel-1(TOPS模式)卫星参数进行成像性能分析与点目标仿真成像.结果表明:SS-BSAR系统成像性能在观测场景内呈现空变性,其中TOPS模式因波束扫描导致方位向分辨率与相干积累增益显著低于条带模式.
Space-surface bistatic synthetic aperture radar(SS-BSAR)takes in-orbit satellites as non-cooperative illuminators,offering advantages such as high timeliness,multi-dimensional information acquisition,and multi-frequency fusion.However,its bistatic geometry introduces pronounced spatial variation in its imaging performance,and the observation modes affect the key system metrics like resolution and signal-to-noise ratio(SNR).In view of these,the multi-observation modes and imaging processing of SS-BSAR are investigated.First,the operating principles and characteristics of the stripmap mode and terrain observation by progressive scans(TOPS)mode are compared and analyzed.Then,the two-dimensional resolution and SNR performances of the SS-BSAR system are analyzed.Finally,the imaging performance analysis and point-target simulations are conducted with the parameters from the LT-1(stripmap mode)and Sentinel-1(TOPS mode)satellites by a processing method suited to non-cooperative SS-BSAR.The results show that the SS-BSAR imaging performance exhibits spatial variability across the scene,with the TOPS mode suffering significantly lower azimuth resolution and coherent integration gain than the stripmap mode due to beam scanning.
张雅茹;陈志扬;李元昊
北京理工大学 信息与电子学院雷达技术研究院,北京 100081北京理工大学 信息与电子学院雷达技术研究院,北京 100081||北京理工大学 前沿技术研究院,山东 济南 250300北京理工大学 信息与电子学院雷达技术研究院,北京 100081||北京理工大学 前沿技术研究院,山东 济南 250300
航空航天
合成孔径雷达(SAR)星地双基地SAR滑动扫描观测(TOPS)模式二维分辨率成像
synthetic aperture radar(SAR)space-surface bistatic SARterrain observation by progressive scans(TOPS)modetwo-dimensional resolutionimaging
《上海航天(中英文)》 2026 (2)
28-36,9
国家自然科学基金资助项目(62471042)
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