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

Title
Multi-Sensor Fusion with Interacting Multiple Model Filter for Improved Aircraft Position Accuracy
Authors
최상방
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
Issue Date
2013
Publisher
SENSORS
Series/Report no.
SENSORS ; Vol13 no.4 Startpage 4122 Endpage 4137
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.
URI
http://dspace.inha.ac.kr/handle/10505/33421
ISSN
1424-8220
Appears in Collections:
College of Engineering(공과대학) > Electronic Engineering (전자공학) > Journal Papers, Reports(전자공학 논문, 보고서)
Files in This Item:
35571.pdfDownload

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse