Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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Robust Filtering Algorithm for Improvement of Air Navigation System

항행시스템 성능향상을 위한 강인한 필터링 알고리즘

  • Cho, Taehwan (Department of Electronics Engineering, Republic of Korea Air Force Academy) ;
  • Kim, Jinhyuk (Department of Electronics Engineering, Inha University) ;
  • Choi, Sangbang (Department of Electronics Engineering, Inha University)
  • Received : 2015.04.14
  • Accepted : 2015.04.24
  • Published : 2015.04.30
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Abstract

Among various fields of the CNS/ATM, the surveillance field which includes ADS-B system, MLAT system, and WAM system is implemented. These next generation systems provide superior performance in tracking aircrafts. However, They still have error. In this paper, filtering algorithm is proposed in order to enhance aircraft tracking performance of ADS-B, MLAT, and WAM systems. The proposed method is a Robust Interacting Multiple Model filter, called Robust IMM filter, that improves IMM filter. The Robust IMM filter can not only improves the aircraft tracking performance but also track aircraft continually using estimates calculated from the filter when data losses occur. The simulation results of the proposed aircraft tracking methods show that the filtering data provides a better performance up to an average of 19.21%.

CNS/ATM(communication navigation surveillance / air traffic management)의 감시 분야에서는 ADS-B(automatic dependent surveillance - broadcast) 시스템, MLAT(multilateration) 시스템, WAM(wide area multilateration) 시스템이 구축되고 있다. ADS-B, MLAT, WAM 시스템의 항공기 추적 성능이 기존의 레이더에 비해 매우 우수하지만 여전히 오차를 포함하고 있다. 따라서 본 논문에서는 차세대 항행시스템의 오차를 줄이고 항공기 추적 성능을 높일 수 있는 필터링 알고리즘을 제안하였다. 필터링 알고리즘 중에서 가장 유용하다고 알려진 IMM(interacting multiple model) 필터를 개선한 Robust IMM 필터를 사용하였으며, ADS-B, MLAT, WAM 시스템 등의 차세대 항공기 추적 시스템에 적용하였다. Robust IMM 필터는 항공기 추적성능을 향상시킬 뿐만 아니라 항공기 위치 데이터가 손실되더라도 필터에서 계산한 추정값을 이용하여 지속적인 위치 추적을 가능하게 한다. 필터링 알고리즘을 차세대 항행시스템에 적용했을 때 평균 19.21%의 성능향상이 있었다.

Keywords

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