Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers

Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers. Calvo-Palomino, R., Ricciato, F., Repas, B., Giustiniano, D., & Lenders, V. arXiv:1802.07016 [cs, eess], February, 2018. arXiv: 1802.07016

Paper abstract bibtex

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.

@article{calvo-palomino_nanosecond-precision_2018,
	title = {Nanosecond-precision {Time}-of-{Arrival} {Estimation} for {Aircraft} {Signals} with low-cost {SDR} {Receivers}},
	url = {http://arxiv.org/abs/1802.07016},
	abstract = {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.},
	language = {en},
	urldate = {2018-09-02},
	journal = {arXiv:1802.07016 [cs, eess]},
	author = {Calvo-Palomino, Roberto and Ricciato, Fabio and Repas, Blaz and Giustiniano, Domenico and Lenders, Vincent},
	month = feb,
	year = {2018},
	note = {arXiv: 1802.07016},
	keywords = {Computer Science - Networking and Internet Architecture, Electrical Engineering and Systems Science - Signal Processing}
}

Downloads: 0

{"_id":"LEofFQSjwXkukXQwH","bibbaseid":"calvopalomino-ricciato-repas-giustiniano-lenders-nanosecondprecisiontimeofarrivalestimationforaircraftsignalswithlowcostsdrreceivers-2018","authorIDs":[],"author_short":["Calvo-Palomino, R.","Ricciato, F.","Repas, B.","Giustiniano, D.","Lenders, V."],"bibdata":{"bibtype":"article","type":"article","title":"Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers","url":"http://arxiv.org/abs/1802.07016","abstract":"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.","language":"en","urldate":"2018-09-02","journal":"arXiv:1802.07016 [cs, eess]","author":[{"propositions":[],"lastnames":["Calvo-Palomino"],"firstnames":["Roberto"],"suffixes":[]},{"propositions":[],"lastnames":["Ricciato"],"firstnames":["Fabio"],"suffixes":[]},{"propositions":[],"lastnames":["Repas"],"firstnames":["Blaz"],"suffixes":[]},{"propositions":[],"lastnames":["Giustiniano"],"firstnames":["Domenico"],"suffixes":[]},{"propositions":[],"lastnames":["Lenders"],"firstnames":["Vincent"],"suffixes":[]}],"month":"February","year":"2018","note":"arXiv: 1802.07016","keywords":"Computer Science - Networking and Internet Architecture, Electrical Engineering and Systems Science - Signal Processing","bibtex":"@article{calvo-palomino_nanosecond-precision_2018,\n\ttitle = {Nanosecond-precision {Time}-of-{Arrival} {Estimation} for {Aircraft} {Signals} with low-cost {SDR} {Receivers}},\n\turl = {http://arxiv.org/abs/1802.07016},\n\tabstract = {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.},\n\tlanguage = {en},\n\turldate = {2018-09-02},\n\tjournal = {arXiv:1802.07016 [cs, eess]},\n\tauthor = {Calvo-Palomino, Roberto and Ricciato, Fabio and Repas, Blaz and Giustiniano, Domenico and Lenders, Vincent},\n\tmonth = feb,\n\tyear = {2018},\n\tnote = {arXiv: 1802.07016},\n\tkeywords = {Computer Science - Networking and Internet Architecture, Electrical Engineering and Systems Science - Signal Processing}\n}\n\n","author_short":["Calvo-Palomino, R.","Ricciato, F.","Repas, B.","Giustiniano, D.","Lenders, V."],"key":"calvo-palomino_nanosecond-precision_2018","id":"calvo-palomino_nanosecond-precision_2018","bibbaseid":"calvopalomino-ricciato-repas-giustiniano-lenders-nanosecondprecisiontimeofarrivalestimationforaircraftsignalswithlowcostsdrreceivers-2018","role":"author","urls":{"Paper":"http://arxiv.org/abs/1802.07016"},"keyword":["Computer Science - Networking and Internet Architecture","Electrical Engineering and Systems Science - Signal Processing"],"downloads":0,"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/21h","creationDate":"2020-05-22T18:11:30.522Z","downloads":0,"keywords":["computer science - networking and internet architecture","electrical engineering and systems science - signal processing"],"search_terms":["nanosecond","precision","time","arrival","estimation","aircraft","signals","low","cost","sdr","receivers","calvo-palomino","ricciato","repas","giustiniano","lenders"],"title":"Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers","year":2018,"dataSources":["NpxDwkFvCjNmGYFSj"]}