基于低成本SDR接收机的纳秒级飞机信号到达时间估计
Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers
摘要：
飞机和无人机信号的精确到达时间（TOA）估计对于包括飞机/无人机跟踪、空中交通数据验证或自定位在内的广泛应用非常重要。我们在这项工作中的重点是TOA估计方法，可以运行在低成本的软件定义无线电（SDR）接收器，广泛部署在模式S / ADS-B众包传感器网络，如OpenSky网络。我们评估实验经典的TOA估计方法，这是基于与重建的消息模板的互相关，并发现这些方法是不是最佳的，这样的信号。我们提出了两种替代方法，为低成本SDR接收器捕获的真实世界的模式S / ADS-B信号提供卓越的结果。最好的方法实现了1.5 ns的标准偏差误差。
英文摘要：
Precise Time-of-Arrival (TOA) estimations of aircraft and drone signals are important for a wide set of applications including aircraft/drone tracking, air traffic data verification, or self-localization. Our focus in this work is on TOA estimation methods that can run on low-cost software-defined radio (SDR) receivers, as widely deployed in Mode S / ADS-B crowdsourced sensor networks such as the OpenSky Network. We evaluate experimentally classical TOA estimation methods which are based on a cross-correlation with a reconstructed message template and find that these methods are not optimal for such signals. We propose two alternative methods that provide superior results for real-world Mode S / ADS-B signals captured with low-cost SDR receivers. The best method achieves a standard deviation error of 1.5 ns.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
