The Performance Enhancement of Automatic Dependent Surveillance - Broadcast Using Information Fusion Method

정보융합 기법을 활용한 ADS-B 성능 개선

  • Received : 2015.08.07
  • Accepted : 2015.10.14
  • Published : 2015.10.30


In this paper, we proposed an information fusion method for enhancement of automatic dependent surveillance - broadcast (ADS-B) system which is one of the next generation navigation system. Although ADS-B provides better performance than traditional radar, ADS-B still has error due to dependence of global navigation satellite system (GNSS) information. In this paper, we improved the ADS-B performance using information fusion of multilateration (MLAT) and wide area multilateration (WAM). Information fusion provides accurate data compared to original data. Mostly, information fusion methods use Kalman filter or IMM(interacting multiple model) filter as a subfilter. However, we used Robust IMM filter as a subfilter to improve the aircraft tracking performance. Also, we use actual ADS-B data not virtual data to increase reliability of our information fusion method.


Information fusion;Automatic dependent surveillance - broadcast;Multilateration;Wide area multilateration


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