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.
Highlights
Countries with advanced aviation technologies such as the U.S and the European nations have shown consistent dedication to improvement of aviation safety for increased air traffic volumes
We applied a novel sensor fusion method with Interacting Multiple Model (IMM) filter to Ground-Based Augmentation System (GBAS), Automatic Dependent Surveillance-Broadcast (ADS-B), MLAT, and wide-area multilateration (WAM) data in order to improve the reliability of the aircraft position
GBAS and MLAT are more accurate than ADS-B and WAM, so the improvement of our approach is small
Summary
Countries with advanced aviation technologies such as the U.S and the European nations have shown consistent dedication to improvement of aviation safety for increased air traffic volumes. MLAT is very useful when such dead zones exist, or when the cost of installing additional radar facilities is prohibitively high because of the structural propagation characteristics of current radar through the airport and major airways. It can be useful in aircraft detection below a certain altitude and screen jamming due to mountains and obstacles [4]. This paper is organized as follows: Section 2 discusses related work on background, GBAS, ADS-B, MLAT, WAM, IMM filter, and sensor fusion.
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