{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/nanosecond-precision-time-of-arrival","title":"Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers","arxiv_id":"1802.07016","date":"2018-02-20","proceeding":null,"authors":[],"abstract":"Precise Time-of-Arrival (TOA) estimations of aircraft and drone signals are\nimportant for a wide set of applications including aircraft/drone tracking, air\ntraffic data verification, or self-localization. Our focus in this work is on\nTOA estimation methods that can run on low-cost software-defined radio (SDR)\nreceivers, as widely deployed in Mode S / ADS-B crowdsourced sensor networks\nsuch as the OpenSky Network. We evaluate experimentally classical TOA\nestimation methods which are based on a cross-correlation with a reconstructed\nmessage template and find that these methods are not optimal for such signals.\nWe propose two alternative methods that provide superior results for real-world\nMode S / ADS-B signals captured with low-cost SDR receivers. The best method\nachieves a standard deviation error of 1.5 ns.","url_abs":"http://arxiv.org/abs/1802.07016v1","url_pdf":"http://arxiv.org/pdf/1802.07016v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"nanosecond-precision-time-of-arrival","repo_url":"https://github.com/openskynetwork/dump1090-hptoa","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}