TY - GEN
T1 - Joint estimation of state and sensor systematic error in hybrid system
AU - Zhou, Lin
AU - Pan, Quan
AU - Liang, Yan
AU - Jin, Zhenlu
PY - 2012
Y1 - 2012
N2 - Consider the hybrid systems with nonlinear property, and the sensor measurements with unknown and time-varying systematic error in this paper. In order to obtain the joint least square (LS) estimation of state and systematic error, a new method - JE-EM (joint estimation-expectation maximization) is proposed. In this paper, the relationship between the sensor systematic error estimation and state estimation is derived, which can be described by the framework of EM. Due to the character of the hybrid system, the target state is estimated by the IMM with PF filter. Based on the above relationship, systematic error is iteratively estimated by the framework of EM. Simulation results with a maneuvering target tracking scenario show the effectiveness of the proposed method.
AB - Consider the hybrid systems with nonlinear property, and the sensor measurements with unknown and time-varying systematic error in this paper. In order to obtain the joint least square (LS) estimation of state and systematic error, a new method - JE-EM (joint estimation-expectation maximization) is proposed. In this paper, the relationship between the sensor systematic error estimation and state estimation is derived, which can be described by the framework of EM. Due to the character of the hybrid system, the target state is estimated by the IMM with PF filter. Based on the above relationship, systematic error is iteratively estimated by the framework of EM. Simulation results with a maneuvering target tracking scenario show the effectiveness of the proposed method.
KW - Expectation maximization (EM)
KW - Hybrid system
KW - Interacting multiple model (IMM)
KW - Particle filter (PF)
KW - Systematic error
UR - https://www.scopus.com/pages/publications/84867632672
M3 - 会议稿件
AN - SCOPUS:84867632672
SN - 9780982443859
T3 - 15th International Conference on Information Fusion, FUSION 2012
SP - 969
EP - 975
BT - 15th International Conference on Information Fusion, FUSION 2012
PB - IEEE Computer Society
T2 - 15th International Conference on Information Fusion, FUSION 2012
Y2 - 7 September 2012 through 12 September 2012
ER -