DocumentCode :
1149321
Title :
Trajectory Estimation with Uncertain and Nonassociated Data
Author :
Lindgren, Allen G. ; Irza, John ; Nardone, Steven C.
Author_Institution :
University of Rhode Island
Issue :
1
fYear :
1986
Firstpage :
71
Lastpage :
78
Abstract :
The local behavior of a maximum likelihood estimator that adaptively weights data of uncertain origin to make a probabilistic measurement-to-track assignment is examined. The results are placed in the framework of the classic estimation theory of Fisher and Cramer. The Cramer-Rao bound is derived and the MLS error level is compared with this lower bound and the level achieved with known data association. Deterioration in performance was found to depend solely on the false-detection to valid-contact ratio, and the actual (measured) covariance matrix is a scalar multiple of the covariance matrix computed for associated data.
Keywords :
Covariance matrix; Cramer-Rao bounds; Maximum likelihood detection; Maximum likelihood estimation; Particle measurements; Position measurement; Probability density function; State estimation; Surveillance; Target tracking;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.1986.310694
Filename :
4104174
Link To Document :
بازگشت