EAGER: Ultra High-speed Bandwidth for Performance Improvements in Radar Networks for Weather and Aircraft Surveillance

EAGER：超高速带宽可提高天气和飞机监视雷达网络的性能

• 批准号: 1238485
• 负责人: Michael Zink
• 金额: $ 28.9万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-15 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1238485&HistoricalAwards=false
• 关键词: EAGER; Ultra; speed; Bandwidth; Performance

This project demonstrates the benefits of connecting radars to ultra high-speed networks to improve hazardous weather warning and response and the identification and tracking of small, low-flying aircraft by developing new detection algorithms that operate directly on uncompressed, high-bandwidth radar data. Although radar networks are a critical part of the nation's infrastructure for weather observation and aircraft surveillance, today's best-effort Internet is used to transport data from radars to a variety of end users for decision-making. To allow for real-time delivery, the radar data are compressed and important information can be lost during this process. Transmitting uncompressed radar data over ultra high-speed networks could enable advanced, very geographically precise detection and prediction of weather hazards resulting in benefits to public safety and the economy. In addition, the ability to track, small low-flying aircraft is important for drug enforcement and for tracking Unmanned Aircraft Systems used for homeland security and law enforcement that are expected to be prevalent in urban areas in the near future. The project will be conducted using a test bed of high resolution, low-cost radar located in the Dallas Fort Worth Metroplex linked to users such as emergency managers and National Weather Service forecasters. To manage the increased demand for processing and networking resources from the usage of high-bandwidth data techniques related to the usage of on-demand networks (SDN) and compute resources (cloud computing) are studied.

该项目展示了将雷达连接到超高速网络的好处，通过开发新的检测算法，直接对未压缩的高带宽雷达数据进行操作，可以改善危险天气预警和响应，以及识别和跟踪小型低空飞行飞机。虽然雷达网络是国家气象观测和飞机监视基础设施的重要组成部分，但今天最努力的互联网用于将雷达数据传输到各种最终用户以供决策。为了实现实时传输，雷达数据被压缩，在此过程中可能会丢失重要信息。通过超高速网络传输未压缩的雷达数据可以实现先进的、非常精确的地理探测和天气灾害预测，从而有利于公共安全和经济。此外，跟踪小型低空飞行飞机的能力对于毒品执法和跟踪用于国土安全和执法的无人驾驶飞机系统非常重要，预计在不久的将来，这些系统将在城市地区普及。该项目将使用位于达拉斯沃斯堡Metroplex的高分辨率、低成本雷达试验台进行，该试验台与应急管理人员和国家气象局预报员等用户相连。为了管理从使用高带宽数据技术相关的按需网络（SDN）和计算资源（云计算）的使用增加的处理和网络资源的需求。