首页> 外文会议>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
获取原文并翻译 | 示例

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)图像需要在浏览图像和提取信息之前通过对接收到的数据进行连续的信号处理来再现图像。 ALOS-2 / PALSAR-2的接收信号数据记录存储在机载任务数据存储中并传输到地面。为了补偿任务日期通信网络的存储使用量和传输数据的容量,PALSAR-2的操作职责受到限制。这种平衡在很大程度上取决于网络的可用性。考虑到用户需求的冲突,目前的星载SAR系统的观测操作是通过模拟任务数据平衡来严格计划的。应该解决这个问题,以使我们不必牺牲下一代星载SAR系统的运行和潜力。解决方案之一是通过机载图像再现和从再现图像中提取信息来压缩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测。与日本宇航局(Japan Aerospace Exploration Agency)合作的紧急工作室(Emergence Studio)正在开发基于FPGA的信号处理系统的评估模型,以用于机载SAR图像再现。该模型(即2016年开发的“快速L1处理器(FLIP)”)可以从ALOS / PALSAR原始信号数据(级别1.0)中复制10m分辨率的单外观复杂图像(级别1.1)。 FLIP在200 MHz时的处理速度比在3.7 GHz时基于CPU的计算快两倍。 FLIP处理的图像绝不亚于MATLAB中32位计算处理的图像。

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