I-Corps: Remote sensing technology

I-Corps：遥感技术

• 批准号: 2227380
• 负责人: Christopher Barnes
• 金额: $ 5万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227380&HistoricalAwards=false
• 关键词: Corps; Remote; sensing; technology

The broader impact/commercial potential of this I-Corps project is the potential development of a scanless RADAR (RAdio Detection And Ranging) technology. This scanless sensor has the potential to possibly integrate large areas, perform faster scanning, focus on objects longer during tracking (especially in the near field), and image with a multi-frequency system without the need for a moving system. The ability to have multiple frequencies incorporated could be useful to maintain the ability to image in degraded environments without compromising high resolution. This innovation is expected to serve as a possible platform technology and could provide enhanced sensing capabilities for markets including autonomous vehicles, and medical devices for rural areas.This I-Corps project is based on the development of a novel remote sensing technique that leverages the benefits of both RADAR (RAdio Detection And Ranging) and LIDAR (Light Detection and Ranging). It provides a technology that could provide a wide field of view, without the need for a moving platform, at comparable resolutions to the current most advanced RADAR techniques. Current solutions for high-resolution imaging include digital beamforming and LIDAR. While digital beamforming can yield high-resolution scans, it requires multiple pulses to scan an entire scene. Multiple sweeps of the scene of interest are required for digital beamforming as narrow directed beams must be used to get enhanced resolution. Digital beamforming contains a blind spot close to the RADAR (i.e., in the near field) due to certain assumptions that are made in its signal processing. LIDAR, which uses light waves instead of radio waves, delivers high resolution due to its small wavelength; however, these small wavelengths do not propagate through environments as well as radio waves and thus perform poorly in atmospheric conditions such as rain and fog. The proposed technology seeks to potentially process waves of any wavelength simultaneously and presents a needed solution for the integration of data obtained from different sensor types (e.g., RADAR, LIDAR, and SONAR).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目的更广泛的影响/商业潜力是无扫描雷达（无线电探测和测距）技术的潜在发展。这种无扫描传感器有可能集成大面积，执行更快的扫描，在跟踪过程中更长时间地聚焦对象（特别是在近场），并在不需要移动系统的情况下使用多频系统成像。具有并入的多个频率的能力对于在不损害高分辨率的情况下维持在降级环境中成像的能力可能是有用的。这一创新有望成为一种平台技术，为自动驾驶汽车和农村医疗设备等市场提供增强的传感能力。I-Corps项目基于开发一种新型遥感技术，该技术利用了RADAR（无线电探测和测距）和LIDAR（光探测和测距）的优势。它提供了一种技术，可以提供宽视场，而不需要移动平台，分辨率与目前最先进的雷达技术相当。目前高分辨率成像的解决方案包括数字波束形成和激光雷达。虽然数字波束形成可以产生高分辨率扫描，但它需要多个脉冲来扫描整个场景。 数字波束形成需要对感兴趣的场景进行多次扫描，因为必须使用窄定向波束来获得增强的分辨率。数字波束形成包含靠近雷达的盲点（即，在近场中），这是由于在其信号处理中做出的某些假设。LIDAR使用光波而不是无线电波，由于其波长小而提供高分辨率;然而，这些小波长不会像无线电波那样通过环境传播，因此在雨和雾等大气条件下表现不佳。所提出的技术寻求潜在地同时处理任何波长的波，并且提出了用于整合从不同传感器类型（例如，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。