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GAARDIAN - GNSS Availability, Accuracy, Reliability anD Integrity Assessment for timing and Navigation

GAARDIAN - 用于授时和导航的 GNSS 可用性、准确性、可靠性和完整性评估

基本信息

批准号：
TS/G002592/1
负责人：
Cathryn Mitchell
金额：
$ 34.94万
依托单位：
University of Bath
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2008
资助国家：
英国
起止时间：
2008 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=TS%2FG002592%2F1
关键词：
GAARDIAN GNSS Availability Accuracy Reliability

项目摘要

Critical infrastructure applications (e.g. transport, telecoms, utilities, security and maritime) require real-time and continuous localised knowledge of the reliability and quality (integrity) of PNT data in the vicinity of use - this is not available today. GAARDIAN proposes to develop novel methods for real-time, autonomous, continuous and accurate gathering and filtering of 3 independent enormous sets of Positioning, Navigation and Timing (PNT) data nationally and in complex/difficult environments, to enable robust, real-time and continuous quality (integrity) assurance of PNT data. Both the built and marine environments are complex and offer significant challenges to the seamless capture of spatio temporally referenced PNT sensor data due to weather, building shadow, radio interference, platform instability and inaccessibility. In addition, real-time monitoring of continuous PNT quality data from multiple sources creates far too muchdata to be communicated cost-effectively to, and be managed by, a central database. Hence, novel data reduction methods must be created. The project will develop new methods for intelligent, adaptive localised data gathering (including learning normal data signatures and adjusting thresholds autonomously), storage and filtering - critical to the markets identified. Reduced data will be communicated back to a central server to allow user access for PNT qualitymonitoring. Reliable PNT integrity assurance at point of use requires 3 independent timing or navigation data references to identify and mitigate the presence of interference or jamming of the PNT signals. The project will investigate the use of eLoran, GNSS and timing signals for this purpose, to gather precise and unambiguous data. GAARDIAN will enable users to reliably make critical operational decisions based on unambiguous localised PNT integrity (quality) knowledge.

关键基础设施应用（例如运输、电信、公用事业、安全和海事）需要实时和持续地了解使用附近PNT数据的可靠性和质量（完整性），而这在今天是不可用的。GAARDIAN提议开发新的方法，用于实时，自主，连续和准确地收集和过滤3个独立的庞大的定位，导航和定时（PNT）数据集，并在复杂/困难的环境中，以实现PNT数据的鲁棒，实时和连续的质量（完整性）保证。建筑和海洋环境都是复杂的，由于天气、建筑阴影、无线电干扰、平台不稳定和不可达性，对无缝捕获时空参考PNT传感器数据提出了重大挑战。此外，对来自多个来源的连续PNT质量数据的实时监测产生了太多的数据，无法以经济有效的方式传达给中央数据库并由其管理。因此，必须创建新的数据简化方法。该项目将开发智能、自适应本地化数据收集（包括学习正常数据签名和自主调整阈值）、存储和过滤的新方法，这对确定的市场至关重要。减少的数据将被传送回中央服务器，以允许用户访问PNT质量监控。可靠的PNT完整性保证在使用点需要3个独立的定时或导航数据参考，以识别和减轻干扰或干扰PNT信号的存在。该项目将为此目的调查eLoran、GNSS和授时信号的使用情况，以收集精确和明确的数据。GAARDIAN将使用户能够基于明确的本地化PNT完整性（质量）知识可靠地做出关键的操作决策。