A single station passive location method based on range parameterised Cubature Kalman Filter

DOI:	10.11809/bqzbgcxb2023.01.030
Keywords:	single station passive location; Cubature Kalman filter; range parameterised; backward smoothing
Abstract:	Aiming at the problem that the filtering accuracy decreases due to the maneuvering of the observation station, this paper proposes a single station passive positioning method based on the Range Parameterized Cubature Kalman Filter Smoothing (PRCKFS). The idea of distance parameterization is introduced, combined with the observation range of the observation station as the prior value. The observation range is divided into several intervals, and the initial weights are given. Backward Cubature Kalman Filter Smoothing (CKFS) is introduced into each interval, whose weight is updated by the ratio of the predicted value and the observed value, and finally the target state is obtained through a weighted fusion of the state information of each interval. The simulation results show that the method can effectively reduce the sensitivity of the global filtering to the maneuvering of the observation station, and improve filtering stability and positioning accuracy.
Issue:	Vol. 44 No. 1 (2023)
Published:	2023-01-28
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