Interacting Multiple Model Baro-Error Identification Filter

IMM 기법을 이용한 기압고도계 오차 식별 필터

  • Whang, Ick-Ho (Agency for Defense Development, 3-1-3(Guidance and Control Technology) Team) ;
  • Ra, Won-Sang (Agency for Defense Development, 3-1-3(Guidance and Control Technology) Team)
  • 황익호 (국방과학연구소 제3체계개발본부 1부 3팀) ;
  • 나원상 (국방과학연구소 제3체계개발본부 1부 3팀)
  • Published : 2007.07.18

Abstract

Barometers can provide height information steady but its accuracy becomes poor as the air data varies due to the vehicles's moving or time's elapsing. In order to keep the accuracy in spite of the air data changes, we propose a filter for the identification of baro-errors. The baro-errors mainly consist of bias and scale factor errors which gradually varies as the air data varies. With GPS height measurements, the scale factor and bias estimator is designed by applying the interacting multiple model (IMM) filtering technique to the baro-error random walk model. The resultant estimates are used to compensate current baro-measurement to supply accurate measurements steadily.

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