SaTC: CORE: Small: Securing GNSS-based infrastructures

SaTC：核心：小型：保护基于 GNSS 的基础设施

• 批准号: 1815349
• 负责人: Pau Closas
• 金额: $ 16万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1815349&HistoricalAwards=false
• 关键词: SaTC; CORE; Small; Securing; GNSS

This project develops novel anti-jamming techniques for Global Navigation Satellite Systems (GNSS) that are effective, yet computationally affordable. GNSS is ubiquitous in civilian, security and defense applications, causing a growing dependence on such technology for position and timing purposes, particularly in critical infrastructures. The threat of a potential disruption of GNSS is real and can lead to catastrophic consequences. This project studies methods to secure GNSS receivers from jamming interference, and doing so within size, weight, and power (SWAP) requirements. Existing solutions are either bulky and not cost-effective, such as those based on antenna array technology, or specifically adapted to an interference type. In addition, most of these solutions require the detection and classification of the interference before mitigating its effects, which constitutes a single point of error in the process. This project will investigate GNSS receivers that are resilient to interference without requiring detection and classification, by leveraging robust statistics to design methods that require few modifications with respect to state-of-the-art receiver architectures, keeping SWAP requirements comparable to those from standard GNSS receivers. The findings will be implemented and validated on an end-to-end GNSS software-defined radio receiver, successfully transitioning research into practice. Educational activities are closely integrated with this research agenda, including a course developed by the principal investigator and outreach activities.This research advances knowledge of how robust statistics can be leveraged to design cost-effective and efficient mitigation techniques for anti-jamming GNSS. The main premise of the project is that most interference sources have a sparse representation, on which they can be seen as outliers to the nominal signal model. Tools from robust statistics are then used to discard those outliers in a sound manner, identifying and substituting specific critical operations in GNSS processing. This approach avoids the need for detecting and estimating interference, processes which can cause errors. The project envisions a lightweight, yet robust, GNSS receiver that can be easily adopted in substitution of current GNSS receivers that are supporting operation of critical infrastructures. It will enable reliable and precise anti-jamming technology with drastic SWAP and cost improvements. Particularly, the project will provide a GNSS receiver solution that can cope with common jamming interference. The development of such receiver enhancements, along with their validation in a software receiver, will allow for large-scale deployments of GNSS receivers that are more resilient and reliable.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.

该项目为全球导航卫星系统（GNSS）开发新颖的抗干扰技术，该技术有效且计算成本低廉。 GNSS 在民用、安全和国防应用中无处不在，导致人们越来越依赖此类技术进行定位和授时，特别是在关键基础设施中。 GNSS 潜在中断的威胁是真实存在的，并且可能导致灾难性后果。该项目研究保护 GNSS 接收器免受干扰的方法，并在尺寸、重量和功率 (SWAP) 要求范围内实现。现有的解决方案要么体积庞大且不经济，例如基于天线阵列技术的解决方案，要么专门适应干扰类型。此外，大多数解决方案都需要在减轻干扰影响之前对干扰进行检测和分类，这构成了过程中的单点错误。 该项目将研究无需检测和分类即可抗干扰的 GNSS 接收器，利用强大的统计数据来设计方法，只需对最先进的接收器架构进行少量修改，使 SWAP 要求与标准 GNSS 的要求相当接收器。研究结果将在端到端 GNSS 软件定义无线电接收器上实施和验证，成功地将研究转化为实践。教育活动与该研究议程紧密结合，包括由首席研究员开发的课程和外展活动。这项研究增进了人们对如何利用可靠的统计数据来设计具有成本效益且高效的抗干扰 GNSS 缓解技术的了解。该项目的主要前提是大多数干扰源都具有稀疏表示，在这种表示上它们可以被视为标称信号模型的异常值。然后使用来自可靠统计的工具以合理的方式丢弃这些异常值，识别并替换 GNSS 处理中的特定关键操作。这种方法避免了检​​测和估计干扰的需要，这些过程可能会导致错误。该项目设想了一种轻量但坚固的 GNSS 接收器，可以轻松替代当前支持关键基础设施运行的 GNSS 接收器。它将实现可靠、精确的抗干扰技术，并大幅改善交换和成本。特别是，该项目将提供能够应对常见干扰的 GNSS 接收器解决方案。此类接收器增强功能的开发及其在软件接收器中的验证将允许大规模部署更具弹性和可靠性的 GNSS 接收器。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。

项目成果

Data Decoding Analysis of Next Generation GNSS Signals

下一代 GNSS 信号的数据解码分析

• 发表时间: 2019-09
• 期刊: The International Technical Meeting of the Satellite Division of The Institute of Navigation
• 作者: Ortega, Lorenzo;Closas, Pau;Poulliat, Charly;Boucheret, Marie;Aubault
• 通讯作者: Aubault

Navigation Systems Panel Report Navigation Systems for Autonomous and Semi-Autonomous Vehicles: Current Trends and Future Challenges

导航系统小组报告自动驾驶和半自动驾驶车辆的导航系统：当前趋势和未来挑战

• DOI: 10.1109/maes.2019.2906971
• 发表时间: 2019-05
• 期刊: IEEE Aerospace and Electronic Systems Magazine
• 影响因子: 3.6
• 作者: Kassas, Zaher M.;Closas, Pau;Gross, Jason
• 通讯作者: Gross, Jason

Ziv‐Zakai Bound for Direct Position Estimation

ZivâZakai Bound 用于直接位置估计

• DOI: 10.1002/navi.259
• 发表时间: 2018-09
• 期刊: NAVIGATION
• 作者: Gusi‐Amigó, Adrià;Closas, Pau;Mallat, Achraf;Vandendorpe, Luc
• 通讯作者: Vandendorpe, Luc

Compact CRB for delay, Doppler, and phase estimation – application to GNSS SPP and RTK performance characterisation

用于延迟、多普勒和相位估计的紧凑型 CRB – 应用于 GNSS SPP 和 RTK 性能表征

• DOI: 10.1049/iet-rsn.2020.0168
• 发表时间: 2020-10
• 期刊: Sonar & Navigation
• 作者: Medina, Daniel;Ortega, Lorenzo;Vilà‐Valls, Jordi;Closas, Pau;Vincent, Francois;Chaumette, Eric
• 通讯作者: Chaumette, Eric

LLR approximation for fading channels using a Bayesian approach

使用贝叶斯方法对衰落信道进行 LLR 近似

• DOI: 10.1109/lcomm.2020.2978832
• 发表时间: 2020-03
• 期刊: IEEE Communications Letters
• 作者: Espluga, Lorenzo Ortega;Aubault;Poulliat, Charly;Boucheret, Marie Laure;Al;Closas, Pau
• 通讯作者: Closas, Pau