DocumentCode
870920
Title
A maximum likelihood approach to data association
Author
Avitzour, Daniel
Author_Institution
ELTA Electron. Ind., Ashdod, Israel
Volume
28
Issue
2
fYear
1992
fDate
4/1/1992 12:00:00 AM
Firstpage
560
Lastpage
566
Abstract
An approach is presented to data association (DA) problems for which measurements are independent from scan to scan. It is demonstrated that maximum likelihood (ML) estimation of target parameters may be efficiently implemented by an EM iterative scheme. The algorithm is applied to multitarget trajectory estimation of constant-velocity targets from passive (bearing-only) sensors
Keywords
estimation theory; iterative methods; probability; signal detection; signal processing; tracking; EM iterative scheme; constant-velocity targets; data association; maximum likelihood estimation; multitarget tracking; multitarget trajectory estimation; passive sensor; target parameters; Electronics industry; Iterative algorithms; Iterative methods; Maximum likelihood detection; Maximum likelihood estimation; Measurement uncertainty; Parameter estimation; Random variables; Sensor fusion; Time measurement;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.144581
Filename
144581
Link To Document