DocumentCode :
2457681
Title :
Metrics for Target Tracking
Author :
Sworder, D.D. ; Boyd, J.E. ; Hutchins, R.G. ; Elliott, R.J.
Author_Institution :
Dept. of ECE, Univ. of California, La Jolla, CA
fYear :
2006
fDate :
Oct. 29 2006-Nov. 1 2006
Firstpage :
1011
Lastpage :
1015
Abstract :
Model-based trackers generate a synthetic distribution function for the kinematic state of the target. The mean is used to locate the target, and the covariance is used to generate a confidence region about the mean. We shall show that a map-enhanced, multiple model algorithms can be used to reduce the tracking error and to make the confidence region more compact.
Keywords :
target tracking; map-enhanced algorithms; multiple model algorithms; synthetic distribution function; target tracking; Acceleration; Filters; Kinematics; Position measurement; Radar measurements; Radar tracking; Signal processing algorithms; State estimation; Target tracking; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2006.354905
Filename :
4176715
Link To Document :
بازگشت