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

Authors

Zhou Yan, 1. College of Information Engineering, Xiangtan University, Xiangtan 411105, China; ;2. Institute of Control Engineering, Xiangtan University, Xiangtan 411105, China;
Hu Lan, 1. College of Information Engineering, Xiangtan University, Xiangtan 411105, China; ;2. Institute of Control Engineering, Xiangtan University, Xiangtan 411105, China;
Dongli Wang, 1. College of Information Engineering, Xiangtan University, Xiangtan 411105, China; ;

Abstract

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.

Recommended Citation

Yan, Zhou; Lan, Hu; and Wang, Dongli (2020) "Target Tracking in Hybrid Environment Based on IMM-UKF-CS," Journal of System Simulation: Vol. 29: Iss. 1, Article 7.
DOI: 10.16182/j.issn1004731x.joss.201701007
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/7

First Page

43

Revised Date

2015-07-29

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201701007

Last Page

48

CLC

TP391

Recommended Citation

Zhou Yan, Hu Lan, Wang Dongli. Target Tracking in Hybrid Environment Based on IMM-UKF-CS[J]. Journal of System Simulation, 2017, 29(1): 43-48.

DOI

10.16182/j.issn1004731x.joss.201701007