Title
Aspects Of Mmospa Estimation
Abstract
We expand upon existing literature regarding using Minimum Mean Optimal Sub-Pattern Assignment (MMOSPA) estimates in multitarget tracking, noting its advantages in comparison to Maximum Likelihood (ML) and Minimum Mean Squared Error (MMSE) estimation, and look at the practical computation of MMOSPA estimates. We demonstrate the use of MMOSPA estimation in a two-target tracking scenario as well as outside of tracking in a radar angular superresolution scenario.
Year
DOI
Venue
2011
10.1109/CDC.2011.6160245
2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC)
Keywords
Field
DocType
maximum likelihood,maximum likelihood estimation,vectors,radar tracking,minimum mean square error,optimization,estimation
Radar,Mathematical optimization,Radar tracker,Computer science,Minimum mean square error,Maximum likelihood,Statistics,Superresolution,Computation
Conference
ISSN
Citations 
PageRank 
0743-1546
3
0.41
References 
Authors
0
4
Name
Order
Citations
PageRank
David Frederic Crouse1305.78
Peter Willett21962224.14
Yaakov Bar-Shalom346099.56
Lennart Svensson438543.46