The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Linear Robust Target Tracking Filter Using the Range Differences Measured By Formation Flying Multiple UAVs

다중 UAV에서 측정된 거리차 정보를 이용한 선형 강인 표적추적 필터 설계

  • 이혜경 (한동대학교 기계제어공학부) ;
  • 한슬기 (연세대학교 전기전자공학과) ;
  • 나원상 (한동대학교 기계제어공학부)
  • Received : 2011.12.06
  • Accepted : 2012.01.20
  • Published : 2012.02.01
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Abstract

This paper addresses a new passive target tracking problem using the range differences measured by cooperative UAVs. In order to solve the range difference based passive target tracking problem within the framework of linear robust state estimation, the uncertain linear measurement model which contains the stochastic parameter uncertainty is derived by using the noisy range difference measurements. To cope with the performance degradation due to the stochastic parameter uncertainty, the recently developed non-conservative robust Kalman filtering technique [1] is applied. For the cruciform formation flying UAVs, the relationship between the target tracking performance and the measurement errors is quantitatively analyzed. The proposed filter has practical advantages over the classical nonlinear filters because, for its recursive linear structure, it can provide satisfactory convergence properties and is suitable for real-time multiple UAVs applications. Through the simulations, the usefulness of the proposed method is demonstrated.

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References

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