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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

Aircraft trajectory at 192 km from the airport.
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f10-sensors-13-04122: Aircraft trajectory at 192 km from the airport.

Mentions: In scenario 3, the target is 192 km from the airport. We generated the aircraft trajectory shown in Figure 10 because uniform motion is common, rather than acceleration and turning, at this distance. Figure 10 shows the aircraft's true position, ADS-B data, WAM data, and sensor fusion data obtained with the IMM filter. For more realistic simulations, we added WAM failure and ADS-B signal loss using the Poisson process. Figure 11 shows the error between the ADS-B data and sensor fusion data.


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

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

Aircraft trajectory at 192 km from the airport.
© Copyright Policy
Related In: Results  -  Collection

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

f10-sensors-13-04122: Aircraft trajectory at 192 km from the airport.
Mentions: In scenario 3, the target is 192 km from the airport. We generated the aircraft trajectory shown in Figure 10 because uniform motion is common, rather than acceleration and turning, at this distance. Figure 10 shows the aircraft's true position, ADS-B data, WAM data, and sensor fusion data obtained with the IMM filter. For more realistic simulations, we added WAM failure and ADS-B signal loss using the Poisson process. Figure 11 shows the error between the ADS-B data and sensor fusion data.

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