TY - GEN
T1 - IMM-UKF based airborne radar and ESM data fusion for target tracking
AU - Yuan, Zuo
AU - Falin, Wu
AU - Yushuang, Liu
AU - Zhidong, Zhang
AU - Yachong, Zhang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - A fusion filtering model based on the Interacting Multiple Model (IMM) is proposed in this paper, to solve the fusion tracking problem of two kinds of heterogeneous sensors, airborne radar and electronic support measures (ESM). Firstly, the motion model of the maneuvering target and the observation model of these two sensors are established. Under the premise that the radar and ESM spatial coordinate system have been unified, the time registration and measurement fusion of the observation data are performed, and the fusion observation data is used as the input of the filter. The simulations compare the effect of two filtering models based on IMM on the tracking results, which are EKF and UKF. The simulation results show that the radar and ESM fusion tracking model on the basis of IMM-UKF algorithm has better tracking effect and achieve tracking of strong maneuvering target.
AB - A fusion filtering model based on the Interacting Multiple Model (IMM) is proposed in this paper, to solve the fusion tracking problem of two kinds of heterogeneous sensors, airborne radar and electronic support measures (ESM). Firstly, the motion model of the maneuvering target and the observation model of these two sensors are established. Under the premise that the radar and ESM spatial coordinate system have been unified, the time registration and measurement fusion of the observation data are performed, and the fusion observation data is used as the input of the filter. The simulations compare the effect of two filtering models based on IMM on the tracking results, which are EKF and UKF. The simulation results show that the radar and ESM fusion tracking model on the basis of IMM-UKF algorithm has better tracking effect and achieve tracking of strong maneuvering target.
KW - Heterogeneous sensor data fusion
KW - interacting multiple model
KW - maneuvering target tracking
UR - https://www.scopus.com/pages/publications/85086004191
U2 - 10.1109/ICEMI46757.2019.9101826
DO - 10.1109/ICEMI46757.2019.9101826
M3 - 会议稿件
AN - SCOPUS:85086004191
T3 - 2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
SP - 586
EP - 592
BT - 2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
A2 - Wu, Juan
A2 - Yin, Jiali
A2 - Qi, Zhang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
Y2 - 1 November 2019 through 3 November 2019
ER -