Maneuvering emitter tracking by a single observer using IMM algorithm based on unscented transformation

Author

Zheng-Bin, Yang ; Kai, Xie ; Fu-Cheng, Guo ; Yi-yu, Zhou

Author_Institution

Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

Abstract

The unscented transformation (UT) based interacting multiple model (IMM) algorithm is explored to handle maneuvering emitter tracking by a single passive observer, which processes Doppler frequency changing rate and angle measurements concurrently, thus the observer maneuver is not required. Computer simulations are performed to compare the unscented Kalman filter-interacting multiple model (UKF-IMM) estimator with the traditional extended Kalman filter-interacting multiple model (EKF-IMM) estimator. Simulation results reveal that the UKF-IMM estimator is more stable and effective

Keywords

Kalman filters; target tracking; tracking filters; transforms; Doppler frequency; Kalman filter; UKF-IMM; UT; angle measurement; interacting multiple model; maneuvering emitter tracking; unscented transformation; Computational modeling; Computer simulation; Frequency estimation; Frequency measurement; Goniometers; Jacobian matrices; Kalman filters; Motion analysis; Observers; Target tracking; Doppler frequency; interacting multiple model; maneuver; passive location; unscented kalman filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343461

Filename

4148184