Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations

Lukas Beller; Florian Holzapfel

doi:10.1109/ICNS65417.2025.10976776

Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations

Lukas Beller, Florian Holzapfel

Chair of Flight System Dynamics

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper investigates how the calculation of sepa-ration distances from ADS-B data received by a single receiver is affected by the asynchronously sent ADS-B data from different aircraft. Therefore, unsynchronized ADS-B data containing 838 arrivals and departures recorded over one day are synchronized using an Extended Kalman Filter and Extended Rauch Tung Striebel Smoother. We calculate pairwise separation distances for all flights based on the unsynchronized and synchronized data. Finally, we compare and statistically evaluate the differences between the unsynchronized and synchronized results.

Original language	English
Title of host publication	ICNS 2025 - Integrated Communications, Navigation and Surveillance Conference
Subtitle of host publication	Integrated CNS: Towards Innovative and Efficient CNS Service Provision
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331534738
DOIs	https://doi.org/10.1109/ICNS65417.2025.10976776
State	Published - 2025
Event	2025 Integrated Communications, Navigation and Surveillance Conference, ICNS 2025 - Brussels, Belgium Duration: 8 Apr 2025 → 10 Apr 2025

Publication series

Name	Integrated Communications, Navigation and Surveillance Conference, ICNS
ISSN (Print)	2155-4943
ISSN (Electronic)	2155-4951

Conference

Conference	2025 Integrated Communications, Navigation and Surveillance Conference, ICNS 2025
Country/Territory	Belgium
City	Brussels
Period	8/04/25 → 10/04/25

Keywords

ADS-B
ADS-B Preprocessing
ADS-B Synchronization
Extended Kalman Filter
Kalman Filter
Rauch Tung Striebel Smoother

Access to Document

10.1109/ICNS65417.2025.10976776

Cite this

Beller, L., & Holzapfel, F. (2025). Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations. In ICNS 2025 - Integrated Communications, Navigation and Surveillance Conference: Integrated CNS: Towards Innovative and Efficient CNS Service Provision (Integrated Communications, Navigation and Surveillance Conference, ICNS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNS65417.2025.10976776

Beller, Lukas ; Holzapfel, Florian. / Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations. ICNS 2025 - Integrated Communications, Navigation and Surveillance Conference: Integrated CNS: Towards Innovative and Efficient CNS Service Provision. Institute of Electrical and Electronics Engineers Inc., 2025. (Integrated Communications, Navigation and Surveillance Conference, ICNS).

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title = "Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations",

abstract = "This paper investigates how the calculation of sepa-ration distances from ADS-B data received by a single receiver is affected by the asynchronously sent ADS-B data from different aircraft. Therefore, unsynchronized ADS-B data containing 838 arrivals and departures recorded over one day are synchronized using an Extended Kalman Filter and Extended Rauch Tung Striebel Smoother. We calculate pairwise separation distances for all flights based on the unsynchronized and synchronized data. Finally, we compare and statistically evaluate the differences between the unsynchronized and synchronized results.",

keywords = "ADS-B, ADS-B Preprocessing, ADS-B Synchronization, Extended Kalman Filter, Kalman Filter, Rauch Tung Striebel Smoother",

author = "Lukas Beller and Florian Holzapfel",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 Integrated Communications, Navigation and Surveillance Conference, ICNS 2025 ; Conference date: 08-04-2025 Through 10-04-2025",

year = "2025",

doi = "10.1109/ICNS65417.2025.10976776",

language = "English",

series = "Integrated Communications, Navigation and Surveillance Conference, ICNS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Beller, L & Holzapfel, F 2025, Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations. in ICNS 2025 - Integrated Communications, Navigation and Surveillance Conference: Integrated CNS: Towards Innovative and Efficient CNS Service Provision. Integrated Communications, Navigation and Surveillance Conference, ICNS, Institute of Electrical and Electronics Engineers Inc., 2025 Integrated Communications, Navigation and Surveillance Conference, ICNS 2025, Brussels, Belgium, 8/04/25. https://doi.org/10.1109/ICNS65417.2025.10976776

Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations. / Beller, Lukas; Holzapfel, Florian.
ICNS 2025 - Integrated Communications, Navigation and Surveillance Conference: Integrated CNS: Towards Innovative and Efficient CNS Service Provision. Institute of Electrical and Electronics Engineers Inc., 2025. (Integrated Communications, Navigation and Surveillance Conference, ICNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations

AU - Beller, Lukas

AU - Holzapfel, Florian

PY - 2025

Y1 - 2025

N2 - This paper investigates how the calculation of sepa-ration distances from ADS-B data received by a single receiver is affected by the asynchronously sent ADS-B data from different aircraft. Therefore, unsynchronized ADS-B data containing 838 arrivals and departures recorded over one day are synchronized using an Extended Kalman Filter and Extended Rauch Tung Striebel Smoother. We calculate pairwise separation distances for all flights based on the unsynchronized and synchronized data. Finally, we compare and statistically evaluate the differences between the unsynchronized and synchronized results.

AB - This paper investigates how the calculation of sepa-ration distances from ADS-B data received by a single receiver is affected by the asynchronously sent ADS-B data from different aircraft. Therefore, unsynchronized ADS-B data containing 838 arrivals and departures recorded over one day are synchronized using an Extended Kalman Filter and Extended Rauch Tung Striebel Smoother. We calculate pairwise separation distances for all flights based on the unsynchronized and synchronized data. Finally, we compare and statistically evaluate the differences between the unsynchronized and synchronized results.

KW - ADS-B

KW - ADS-B Preprocessing

KW - ADS-B Synchronization

KW - Extended Kalman Filter

KW - Kalman Filter

KW - Rauch Tung Striebel Smoother

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U2 - 10.1109/ICNS65417.2025.10976776

DO - 10.1109/ICNS65417.2025.10976776

M3 - Conference contribution

AN - SCOPUS:105005184907

T3 - Integrated Communications, Navigation and Surveillance Conference, ICNS

BT - ICNS 2025 - Integrated Communications, Navigation and Surveillance Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2025 Integrated Communications, Navigation and Surveillance Conference, ICNS 2025

Y2 - 8 April 2025 through 10 April 2025

ER -

Beller L, Holzapfel F. Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations. In ICNS 2025 - Integrated Communications, Navigation and Surveillance Conference: Integrated CNS: Towards Innovative and Efficient CNS Service Provision. Institute of Electrical and Electronics Engineers Inc. 2025. (Integrated Communications, Navigation and Surveillance Conference, ICNS). doi: 10.1109/ICNS65417.2025.10976776

Synchronizing ADS-B Data with Bayesian Filters and Smoothers for Separation Distance Calculations

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Keywords

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