Evaluation of PNT Situational Awareness Algorithms and Methods
Evaluation of PNT Situational Awareness Algorithms and Methods
复制标题
PNT态势感知算法和方法的评估
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
M. Joerger
中科院分区：
文献类型：
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作者：
Sandeep K. Jada;M. Psiaki;Sean Landerkin;S. Langel;Arthur Scholz;M. Joerger
本文描述了新的GNSS干扰检测方法的位置，导航和定时（PNT）的态势感知（SA）的设计和评估。这些方法旨在用于在GNSS接收器的大型网络上实现。我们专注于个人隐私设备（PPD）造成的干扰威胁。我们首先推导出两种新的干扰检测测试，以识别影响所有可见卫星的C/N 0同时下降事件。为了限制错误警报的风险，我们开发了一个自动化的过程来模拟无干扰条件下特定于卫星和特定于接收站的C/N 0测量变化。然后将这些模型纳入我们的新探测器中，并使用来自连续运行参考站（CORS）的GPS L1 C/N 0数据进行评估。位于高速公路旁的CORS站点每月检测到数十至数百起事件。为了确认检测到的事件是由干扰引起的，我们分析了多个地点多天的CORS数据，并发现了干扰时间表的模式。此外，我们在两个已知的射频干扰（RFI）事件期间处理ADS-B报告的飞机接收器数据，这些事件也影响了CORS数据。
This paper describes the design and evaluation of new GNSS jamming detection methods for position, navigation and timing (PNT) situational awareness (SA). These methods are intended for implementation over large networks of GNSS receivers. We focus on jamming threats caused by personal privacy devices (PPDs). We first derive two new jamming detection tests to identify events of simultaneous drops in C/N0 impacting all satellites in view. To limit the risk of false alerts, we develop an automated process to model satellite-specific and receiver-station-specific C/N0 measurement variations under jamming-free conditions. These models are then incorporated in our new detectors and evaluated using months of GPS L1 C/N0 data from continuously operating reference stations (CORS). Tens to hundreds of events are detected monthly at CORS sites located next to highways. To confirm that the detected events are caused by jamming, we analyze CORS data over multiple days at multiple locations, and find patterns in jamming schedules. In addition, we process ADS-B-reported aircraft receiver data during two known radio-frequency interference (RFI) events that also impacted CORS data.