Multi-Sensor Data Fusion Based on ADS-B and MLAT in Approach

Yu Lu; Rong Shun Huang; Zi Li Xu

doi:10.4028/www.scientific.net/AMM.602-605.2491

Paper Titles

Test Noise Procedures for Transport Category and Turbojet Airplanes
p.2473

Preliminary Research on Deformable Member for Shape Stealth of Tank
p.2478

The Ice Thickness System Design Based on PCap01 with High Accuracy
p.2482

Research of Artificial Rumen Constant Temperature Water Bath Based on Fuzzy Logic Controller
p.2487

Multi-Sensor Data Fusion Based on ADS-B and MLAT in Approach
p.2491

A New Positioning System for Traffic Accident Scene Investigation Integrated with RFID and WSN
p.2495

Image Register Based on PSO and Error Mechanism
p.2500

Intelligent Campus Monitoring Platform Design Based on Internet of Things
p.2504

Correcting Algorithms of the Spinning Projectile Attitude Based on the Background Magnetic Field Compensation
p.2509

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Multi-Sensor Data Fusion Based on ADS-B and MLAT...

Multi-Sensor Data Fusion Based on ADS-B and MLAT in Approach

Abstract:

ADS-B (Automatic Dependent Surveillance - Broadcast) and MLAT (Multilateration) are the main surveillance techniques for ATC (Air Traffic Control), and will play an important role in the future's tracking system. The fusion between ADS-B and MLAT is able to achieve more accurate tracking. In views of the data characters of these two techniques, this paper designs a concrete fusion framework with multi-levels based on federal Kalman filters to fuse ADS-B and MLAT in approach. Under this framework, both ADS-B and MLAT data are processed intensively to achieve high accuracy. Experimental results based on simulation and practical data illustrate the algorithm can achieve high precision.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2491-2494

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2491

Citation:

Cite this paper

Online since:

August 2014

Authors:

Yu Lu*, Rong Shun Huang, Zi Li Xu

Keywords:

Air Traffic Control (ATC), Automatic Dependent Surveillance - Broadcast (ADS-B), Data Fusion, MLAT (Multilateration), Surveillance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Joint planning and development office, Concept of Operations for the Next Generation Air Transportation System, June 13, 2007, Version 2. 0.

Google Scholar

[2] Edward A. Lester and R. John Hansman, Benefits and Incentives for ADS-B. Equipage in the National Airspace System, Report No. ICAT-2007-2, August (2007).

Google Scholar

[3] W.H.L. Neven, T.J. Quilter, R. Weedon, and R.A. Hogendoorn, Wide Area Multilateration, Report on EATMP TRS 131/04, Version 1. 1 Eurocontrol, August (2005).

Google Scholar

[4] Aleksandra L. Mozdzanowska, Roland E. Weibel, Edward Lester, R. John Hansman, Annalisa Weigel, Karen Marais, Dynamics of Air Transportation System Transition and Implications for ADS-B Equipage, 7th AIAA Aviation Technology, Integration and Operations Conference (ATIO), (2007).

DOI: 10.2514/6.2007-7776

Google Scholar

[5] Chong, C. Y., Mori, S., Barker, W. H. and Chang K. C., Architectures and algorithms for track association and fusion, Aerospace and Electronic Systems Magazine, IEEE, Volume 15, Issue 1, pp.5-13, January (2000).

DOI: 10.1109/62.821657

Google Scholar

[6] Besada, J. A., Garcia, J., De Miguel, G., Jimenez, J. F., Gavin, G. and Casar, J. R., Data fusion algorithms based on radar and ADS measurements for ATC application, IEEE International Radar Conference 2000, pp.98-103, May (2000).

DOI: 10.1109/radar.2000.851812

Google Scholar

[7] O. Baud, N. Honore, and O. Taupin, Radar/ADS-B data fusion architecture for experimentation purpose, IEEE 9th International Conference on Information Fusion, (2006).

DOI: 10.1109/icif.2006.301555

Google Scholar