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SaTC: CORE: Small: Securing GNSS-based infrastructures

SaTC：核心：小型：保护基于 GNSS 的基础设施

基本信息

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

项目摘要

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）开发了新型抗干扰技术，该技术有效，但计算负担得起。全球导航卫星系统在民用、安全和国防应用中无处不在，导致越来越依赖这种技术用于定位和授时目的，特别是在关键基础设施中。全球导航卫星系统潜在中断的威胁是真实存在的，并可能导致灾难性后果。本项目研究确保GNSS接收器不受干扰干扰的方法，并在尺寸、重量和功率（SWAP）要求范围内进行。现有的解决方案要么体积庞大，成本效益不高，比如那些基于天线阵列技术的解决方案，要么专门针对干扰类型进行调整。此外，大多数这些解决方案需要在减轻其影响之前对干扰进行检测和分类，这在过程中构成了单点误差。该项目将研究不需要检测和分类就能抵御干扰的GNSS接收器，通过利用稳健的统计数据来设计方法，这些方法只需要对最先进的接收器架构进行很少的修改，使SWAP要求与标准GNSS接收器相当。研究结果将在端到端GNSS软件定义无线电接收机上实施和验证，成功地将研究成果转化为实践。教育活动与这一研究议程紧密结合，包括由主要研究者开发的课程和外展活动。这项研究推进了如何利用稳健统计来设计具有成本效益和高效的抗干扰GNSS缓解技术的知识。该项目的主要前提是，大多数干扰源具有稀疏表示，在此基础上，它们可以被视为标称信号模型的异常值。然后使用来自强大统计的工具以合理的方式丢弃这些异常值，识别和替代GNSS处理中的特定关键操作。这种方法避免了检测和估计可能导致错误的干扰过程的需要。该项目设想了一种轻量级、坚固耐用的GNSS接收器，可以很容易地取代目前支持关键基础设施运行的GNSS接收器。它将实现可靠和精确的抗干扰技术，并大幅提高SWAP和成本。特别是，该项目将提供能够应对常见干扰干扰的GNSS接收器解决方案。这种接收机增强功能的开发，以及它们在软件接收机中的验证，将允许大规模部署更具弹性和可靠性的GNSS接收机。该奖项反映了美国国家科学基金会的法定使命，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。

项目成果

期刊论文数量（54）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Determination of Pseudorange Error Models and Multipath Characterization under Signal-Degraded Scenarios

DOI：
10.33012/2018.16094
发表时间：
2018-09
期刊：
Proceedings of the 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018)
影响因子：
0
作者：
D. Medina;Kasia Gibson;R. Ziebold;P. Closas
通讯作者：
D. Medina;Kasia Gibson;R. Ziebold;P. Closas

Huber's Non-linearity for Robust Transformed Domain GNSS Signal Processing

用于鲁棒变换域 GNSS 信号处理的 Huber 非线性

DOI：
10.33012/2018.16115
发表时间：
2018
期刊：
The International Technical Meeting of the Satellite Division of The Institute of Navigation
影响因子：
0
作者：
Borio, Daniele;Li, Haoqing;Closas, Pau
通讯作者：
Closas, Pau

Data Decoding Analysis of Next Generation GNSS Signals

下一代 GNSS 信号的数据解码分析

DOI：
发表时间：
2019
期刊：
The International Technical Meeting of the Satellite Division of The Institute of Navigation
影响因子：
0
作者：
Ortega, Lorenzo;Closas, Pau;Poulliat, Charly;Boucheret, Marie-Laure;Aubault-Roudier, Marion
通讯作者：
Aubault-Roudier, Marion

Ziv‐Zakai Bound for Direct Position Estimation

ZivâZakai Bound 用于直接位置估计