Abstract | ||
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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 |
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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 Crouse | 1 | 30 | 5.78 |
Peter Willett | 2 | 1962 | 224.14 |
Yaakov Bar-Shalom | 3 | 460 | 99.56 |
Lennart Svensson | 4 | 385 | 43.46 |