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Spaceborne synthetic aperture radar signal processing using field-programmable gate arrays

机译:使用现场可编程门阵列的星载合成孔径雷达信号处理

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Synthetic aperture radar (SAR) imagery requires image reproduction through the successive signal processing of received data before browsing images and extracting information. The received signal data records of ALOS-2/PALSAR-2 are stored in the onboard mission data storage and transmitted to the ground. To compensate for storage usage and transmission data capacity through the mission data communication network, the operation duty of PALSAR-2 is limited. This balance strongly relies on network availability. The observation operations of current spaceborne SAR systems are rigorously planned by simulating the mission data balance, given conflicting user demands. This problem should be solved so that we need not compromise the operations and potential of next-generation spaceborne SAR systems. One of the solutions is to compress the SAR data through onboard image reproduction and information extraction from the reproduced images. This is also beneficial for fast delivery of information products and event-driven observations by constellation. The Emergence Studio (Sohatsu kobo in Japanese) of the Japan Aerospace Exploration Agency has been developing evaluation models of the image processing system with the field-programmable gate array for onboard SAR image reproduction. The first model called the "Fast L1 Processor (FLIP)" can reproduce a 10-m resolution, single-look complex image (level 1.1) from ALOS/PALSAR raw signal data (level 1.0). FLIP processing speed at 200 MHz results in processing about five times faster than CPU-based computing at 3.7 GHz, corresponding to 50% real-time processing capability for ALOS/PALSAR. The FLIP'S image is almost identical to the image reproduced by 32-bit simulation in MATLAB. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:合成孔径雷达(SAR)图像需要通过在浏览图像和提取信息之前通过接收数据的连续信号处理来再现图像再现。 Alos-2 / Palsar-2的接收信号数据记录存储在板载任务数据存储器中并传输到地面。为了通过任务数据通信网络弥补存储使用和传输数据容量,Palsar-2的操作占空比是有限的。这种余额强烈依赖于网络可用性。考虑到用户需求冲突的用户需求,通过模拟任务数据平衡严格计划当前星载SAR系统的观察操作。应该解决这个问题,以便我们不需要损害下一代星载SAR系统的操作和潜力。其中一个解决方案是通过从再现图像中提取的车载图像再现和信息提取来压缩SAR数据。这也是有利于通过星座快速交付信息产品和事件驱动的观察。日本航空航天勘探机构的出现工作室(日语中的Sohatsu Kobo)一直在开发图像处理系统的评估模型,其中用于板载SAR图像再现的现场可编程门阵列。称为“FAST L1处理器(FLIP)”的第一个模型可以从ALOS / PALSAR原始信号数据(级别1.0)重现10米的分辨率,单眼复杂图像(级别1.1)。 200 MHz的翻转处理速度导致比3.7GHz的CPU基于CPU的计算速度快约五倍,​​对应于AlOS / Palsar的50%的实时处理能力。翻盖的图像几乎与MATLAB中的32位模拟再现的图像相同。 (c)2018年光学仪表工程师协会(SPIE)

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