DocumentCode
2247005
Title
Track correlation based on the quasi-consistent extended Kalman filter
Author
Xingkang, He ; Yanguang, Jiang ; Wenchao, Xue ; Haitao, Fang ; Yi, Huang
Author_Institution
Key Lab. of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, P.R. China
fYear
2015
fDate
28-30 July 2015
Firstpage
2150
Lastpage
2155
Abstract
This paper considers the problem of track correlation for the targets obeying general nonlinear dynamics. Based on the quasi-consistent extended Kalman filter (QCEKF), a novel track correlation algorithm is proposed. With the filtering error evaluated by the QCEKF, the proposed track correlation algorithm is proven to ensure that the probability of acceptable fault is lower than the desired value. In the simulation for several typical scenarios, the feasibility and effectiveness of the algorithm are validated.
Keywords
Correlation; Heuristic algorithms; Kalman filters; Noise; Radar tracking; Target tracking; quasi-consistent extended Kalman filter (QCEKF); track correlation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7259966
Filename
7259966
Link To Document