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Robust maximum likelihood bearing estimation in contaminated Gaussian noise

โœ Scribed by Lee, D.D.; Kashyap, R.L.


Book ID
119789353
Publisher
IEEE
Year
1992
Tongue
English
Weight
435 KB
Volume
40
Category
Article
ISSN
1053-587X

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Robust maximum likelihood estimation in
โœ Giuseppe Calafiore; Laurent El Ghaoui ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 181 KB

This paper addresses the problem of maximum likelihood parameter estimation in linear models a!ected by Gaussian noise, whose mean and covariance matrix are uncertain. The proposed estimate maximizes a lower bound on the worst-case (with respect to the uncertainty) likelihood of the measured sample,