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.

该 I-Corps 项目更广泛的影响/商业潜力是无扫描雷达（无线电探测和测距）技术的潜在开发。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物体（尤其是在近场），并且无需移动系统即可使用多频系统进行成像。合并多个频率的能力对于保持在退化环境中成像的能力而不影响高分辨率可能很有用。这项创新预计将成为一种可能的平台技术，并可为自动驾驶汽车和农村地区医疗设备等市场提供增强的传感能力。该 I-Corps 项目基于一种新型遥感技术的开发，该技术利用了以下优势： RADAR（无线电探测和测距）和 LIDAR（光探测和测距）。它提供的技术可以提供宽广的视野，无需移动平台，其分辨率与当前最先进的雷达技术相当。当前的高分辨率成像解决方案包括数字波束成形和激光雷达。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。由于在信号处理中做出的某些假设，数字波束成形包含靠近雷达（即近场）的盲点。 LIDAR 使用光波代替无线电波，由于波长小，因此具有高分辨率；然而，这些小波长不能像无线电波一样在环境中传播，因此在雨和雾等大气条件下表现不佳。拟议的技术旨在同时处理任何波长的波，并为整合从不同传感器类型（例如雷达、激光雷达和声纳）获得的数据提供了所需的解决方案。该奖项反映了 NSF 的法定使命，并被认为是值得的通过使用基金会的智力优势和更广泛的影响审查标准进行评估来提供支持。