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Sensors 2013, 13(4), 4122-4137; doi:10.3390/s130404122
Article

Multi-Sensor Fusion with Interacting Multiple Model Filter for Improved Aircraft Position Accuracy

,
 and *
Department of Electronics Engineering, Inha University, Incheon city 402-751, Korea
* Author to whom correspondence should be addressed.
Received: 10 January 2013 / Revised: 22 March 2013 / Accepted: 22 March 2013 / Published: 27 March 2013
(This article belongs to the Section Physical Sensors)
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Abstract

The International Civil Aviation Organization (ICAO) has decided to adopt Communications, Navigation, and Surveillance/Air Traffic Management (CNS/ATM) as the 21st century standard for navigation. Accordingly, ICAO members have provided an impetus to develop related technology and build sufficient infrastructure. For aviation surveillance with CNS/ATM, Ground-Based Augmentation System (GBAS), Automatic Dependent Surveillance-Broadcast (ADS-B), multilateration (MLAT) and wide-area multilateration (WAM) systems are being established. These sensors can track aircraft positions more accurately than existing radar and can compensate for the blind spots in aircraft surveillance. In this paper, we applied a novel sensor fusion method with Interacting Multiple Model (IMM) filter to GBAS, ADS-B, MLAT, and WAM data in order to improve the reliability of the aircraft position. Results of performance analysis show that the position accuracy is improved by the proposed sensor fusion method with the IMM filter.
Keywords: communications; navigation and surveillance/air traffic management (CNS/ATM); ground-based augmentation system (GBAS); automatic dependent surveillance-broadcast (ADS-B); wide-area multilateration (WAM); interacting multiple model (IMM) filter communications; navigation and surveillance/air traffic management (CNS/ATM); ground-based augmentation system (GBAS); automatic dependent surveillance-broadcast (ADS-B); wide-area multilateration (WAM); interacting multiple model (IMM) filter
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Cho, T.; Lee, C.; Choi, S. Multi-Sensor Fusion with Interacting Multiple Model Filter for Improved Aircraft Position Accuracy. Sensors 2013, 13, 4122-4137.

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