Title :
Radar target tracking using an IMM-EV estimators-based switching scheme
Author_Institution :
Chung Yuan Christian Univ. Chungli, Chungli
Abstract :
In this paper, we propose a method of combining some interacting multiple model-extended Viterbi (IMM-EV) algorithms for target tracking. The objective of the proposed scheme is to take the maximum advantage of the combined strengths of some IMM-EV algorithms so as to achieve better performance and/or computational efficiency than the IMM and some tracking algorithms. Simulation results demonstrate the aforementioned goal can be achieved.
Keywords :
maximum likelihood estimation; radar tracking; target tracking; IMM-EV estimators; interacting multiple model-extended Viterbi algorithms; radar target tracking; target tracking computational efficiency; Clustering algorithms; Computational efficiency; Computational modeling; Degradation; Equations; Linear systems; Radar tracking; State estimation; Target tracking; Viterbi algorithm;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408099
