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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

Errors between MLAT data and fusion data with the IMM filter near the airport.
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f6-sensors-13-04122: Errors between MLAT data and fusion data with the IMM filter near the airport.

Mentions: In scenario 1, the target is near an airport. Because the speed is relatively low and there are many acceleration and turning movements, we generated the aircraft trajectory shown in Figure 4, which shows the aircraft's true position, GBAS data, MLAT data, and the sensor fusion data with the IMM filter. For a more realistic simulation, we added MLAT failure and MLAT signal loss using the Poisson process. Error usually increases near airports because of multipath interference. Therefore, we increased the error by 5 percent. Figure 5 shows the error between the GBAS data and the sensor fusion data with the IMM filter. Likewise, Figure 6 shows the error between the MLAT data and the sensor fusion data with the IMM filter. As shown in the figure, the sensor fusion data with the IMM filter has less error than the original GBAS and MLAT data.


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

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

Errors between MLAT data and fusion data with the IMM filter near the airport.
© Copyright Policy
Related In: Results  -  Collection

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

f6-sensors-13-04122: Errors between MLAT data and fusion data with the IMM filter near the airport.
Mentions: In scenario 1, the target is near an airport. Because the speed is relatively low and there are many acceleration and turning movements, we generated the aircraft trajectory shown in Figure 4, which shows the aircraft's true position, GBAS data, MLAT data, and the sensor fusion data with the IMM filter. For a more realistic simulation, we added MLAT failure and MLAT signal loss using the Poisson process. Error usually increases near airports because of multipath interference. Therefore, we increased the error by 5 percent. Figure 5 shows the error between the GBAS data and the sensor fusion data with the IMM filter. Likewise, Figure 6 shows the error between the MLAT data and the sensor fusion data with the IMM filter. As shown in the figure, the sensor fusion data with the IMM filter has less error than the original GBAS and MLAT 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