首页> 外文会议>Conference on high-performance computing in geoscience and remote sensing VII >Spaceborne synthetic aperture radar signal processing using FPGAs
【24h】

Spaceborne synthetic aperture radar signal processing using FPGAs

机译:使用FPGA的星载合成孔径雷达信号处理

获取原文

摘要

Synthetic Aperture Radar (SAR) imagery requires image reproduction through successive signal processing of received data before browsing images and extracting information. The received signal data records of the ALOS-2/PALSAR-2 are stored in the onboard mission data storage and transmitted to the ground. In order to compensate the storage usage and the capacity of transmission data through the mission date communication networks, the operation duty of the PALSAR-2 is limited. This balance strongly relies on the network availability. The observation operations of the present spaceborne SAR systems are rigorously planned by simulating the mission data balance, given conflicting user demands. This problem should be solved such that we do not have to compromise the operations and the potential of the 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) with Japan Aerospace Exploration Agency is developing evaluation models of FPGA-based signal processing system for onboard SAR image reproduction. The model, namely, "Fast L1 Processor (FLIP)" developed in 2016 can reproduce a 10m-resolution single look complex image (Level 1.1) from ALOS/PALSAR raw signal data (Level 1.0). The processing speed of the FLIP at 200 MHz results in twice faster than CPU-based computing at 3.7 GHz. The image processed by the FLIP is no way inferior to the image processed with 32-bit computing in MATLAB.
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。为了通过任务日期通信网络补偿存储使用和传输数据的容量,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。考虑到相互冲突的用户需求,通过模拟任务数据平衡严格计划本发明源SAR系统的观察操作。应该解决这个问题,使得我们不必妥协下一代星生SAR系统的运营和潜力。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。这也有利于通过星座快速交付信息产品和事件驱动的观察。与日本航天勘探机构的出现工作室(Sohatsu Kobo)正在开发用于车载SAR图像再现的基于FPGA信号处理系统的评估模型。 2016年开发的模型即“FAST L1处理器(翻转)”可以从ALOS / PALSAR原始信号数据(级别1.0)再现10M分辨率单眼复杂图像(级别1.1)。翻转的处理速度在200MHz的3.7GHz的基于CPU的计算中的两倍。由翻转处理的图像绝不是在Matlab中使用32位计算处理的图像不如处理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号