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Multi-sensor fusion with interacting multiple model filter for improved aircraft position accuracy.

Cho T, Lee C, Choi S - Sensors (Basel) (2013)

Bottom Line: 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.These sensors can track aircraft positions more accurately than existing radar and can compensate for the blind spots in aircraft surveillance.

View Article: PubMed Central - PubMed

Affiliation: Department of Electronics Engineering, Inha University, Incheon city 402-751, Korea. burujo@naver.com

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.

No MeSH data available.


Related in: MedlinePlus

MLAT.
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f1-sensors-13-04122: MLAT.

Mentions: Thus, with four receivers, the three-dimensional coordinates (x, y, z) can be determined. If you receive altitude information from secondary surveillance radar, you can determine the aircraft position using only three receivers. Figure 1 shows how to measure aircraft position by MLAT. The aircraft position error in MLAT is known to be 3–6 m near an airport and 10–13 m at 16 km distance away from an airport [22].


Multi-sensor fusion with interacting multiple model filter for improved aircraft position accuracy.

Cho T, Lee C, Choi S - Sensors (Basel) (2013)

MLAT.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3673074&req=5

f1-sensors-13-04122: MLAT.
Mentions: Thus, with four receivers, the three-dimensional coordinates (x, y, z) can be determined. If you receive altitude information from secondary surveillance radar, you can determine the aircraft position using only three receivers. Figure 1 shows how to measure aircraft position by MLAT. The aircraft position error in MLAT is known to be 3–6 m near an airport and 10–13 m at 16 km distance away from an airport [22].

Bottom Line: 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.These sensors can track aircraft positions more accurately than existing radar and can compensate for the blind spots in aircraft surveillance.

View Article: PubMed Central - PubMed

Affiliation: Department of Electronics Engineering, Inha University, Incheon city 402-751, Korea. burujo@naver.com

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.

No MeSH data available.


Related in: MedlinePlus