Journal of System Simulation ›› 2017, Vol. 29 ›› Issue (1): 43-48.doi: 10.16182/j.issn1004731x.joss.201701007

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Target Tracking in Hybrid Environment Based on IMM-UKF-CS

Zhou Yan1,2, Hu Lan1,2, Wang Dongli1   

  1. 1. College of Information Engineering, Xiangtan University, Xiangtan 411105, China;
    2. Institute of Control Engineering, Xiangtan University, Xiangtan 411105, China
  • Received:2015-04-27 Revised:2015-07-29 Online:2017-01-08 Published:2020-06-01

Abstract: To attack the maneuvering target tracking problem in LOS/NLOS hybrid environments, an interacting multiple model (IMM) tracking algorithm based on "current" statistical (CS) model and unscented Kalman filter (UKF) was proposed (IMM-UKF-CS). In the framework of IMM, it took advantage of CS in maneuvering target tracking and chose UKF as the sub-filter for the high positioning accuracy and low computational cost. Simulation results show that IMM-UKF-CS possesses higher tracking accuracy, better robustness and lower time cost, which promises for maneuver target tracking in LOS/NLOS hybrid environments.

Key words: maneuvering target tracking, LOS/NLOS hybrid environment, current statistic model, UKF, interacting multiple model

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