AI 中文总结
针对GNSS射频干扰监测问题，提出基于轨迹一致性的三阶段框架，利用众包式ADS-B网络筛选位置跳跃候选者、验证轨迹一致性并分组异常事件，通过东北亚地区数据验证，该框架能有效识别事件集群，为监测提供补充标准。
AI 中文摘要
全球导航卫星系统（GNSS）射频干扰（RFI）报告日益增多，凸显了对用于态势感知的可扩展广域传感的需求。众包式自动相关监视广播（ADS-B）接收器网络构成了用于GNSS RFI监测的大规模机会性传感器网络，但在异常报告位置行为期间，ADS-B质量指标可能仍然很高，并且异构接收器时间戳可能会产生明显的速度峰值。本文提出了一个三阶段框架，该框架筛选位置跳跃候选者，验证局部轨迹一致性以抑制定时伪像，并将已确认的异常分组为交通自适应多架飞机事件。利用2025年12月至2026年2月东北亚地区6亿5千万条1090兆赫兹的ADS-B报告，该框架在飞行员通知（NOTAM）RKRR Z1401/25的有效期内识别出166个事件集群，而在NOTAM之前的时期则未识别出任何事件集群。超过99%的已确认异常仍处于高质量指标状态，这表明轨迹一致性验证为GNSS RFI监测提供了一种补充传感标准。
英文摘要
Growing reports of global navigation satellite system (GNSS) radio-frequency interference (RFI) highlight the need for scalable wide-area sensing for situational awareness. Crowdsourced Automatic Dependent Surveillance-Broadcast (ADS-B) receiver networks form a large-scale opportunistic sensor network for GNSS RFI monitoring, but ADS-B quality indicators may remain high during abnormal reported-position behavior, and heterogeneous receiver timestamping can produce apparent speed spikes. This letter proposes a three-stage framework that screens position-jump candidates, verifies local track consistency to suppress timing artifacts, and groups confirmed anomalies into traffic-adaptive multi-aircraft events. Using 605 million 1090-MHz ADS-B reports over Northeast Asia from December 2025 to February 2026, the framework identified 166 event clusters within the validity window of Notice to Airmen (NOTAM) RKRR Z1401/25 and none in the pre-NOTAM period. More than 99% of confirmed anomalies remained in high quality-indicator regimes, suggesting that track-consistency verification provides a complementary sensing criterion for GNSS RFI monitoring.
