Study on Data Fusion Algorithm of TCAS/ADS-B Integrated Surveillance System Based on the Present Statistical Model

Ya Jun Xu

doi:10.4028/www.scientific.net/AMM.427-429.1311

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Study on Data Fusion Algorithm of TCAS/ADS-B...

Study on Data Fusion Algorithm of TCAS/ADS-B Integrated Surveillance System Based on the Present Statistical Model

Abstract:

The difference between Traffic Alert and Collision Avoidance System and Automatic Dependent Surveillance Broadcast surveillance principle was compared. A TCAS/ ADS-B integrated surveillance system based on the present statistical model was built. Using the data fusion algorithm, the optimal local track of TCAS and ADS-B ,as well as the optimal fused track of the integrated system were estimated. The simulation results show that the maximum optimal fused estimated position error is 100m, it is certificated that the integrated system can improve track estimates accuracy, improve the surveillance precision of TCAS.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1311-1314

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1311

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Online since:

September 2013

Authors:

Ya Jun Xu*

Keywords:

Data Fusion, Fused Track, Integrated Surveillance, Local Track

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* - Corresponding Author

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