- Tytuł:
- Fusion of multiple estimates by covariance intersection: Why and how it is suboptimal
- Autorzy:
-
Ajgl, J.
Straka, O. - Powiązania:
- https://bibliotekanauki.pl/articles/330451.pdf
- Data publikacji:
- 2018
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
decentralised estimation
fusion under unknown correlations
covariance intersection
Minkowski sum
estymacja zdecentralizowana
iloczyn kowariancji
suma Minkowskiego - Opis:
- The fusion under unknown correlations tunes a combination of local estimates in such a way that upper bounds of the admissible mean square error matrices are optimised. Based on the recently discovered relation between the admissible matrices and Minkowski sums of ellipsoids, the optimality of existing algorithms is analysed. Simple examples are used to indicate the reasons for the suboptimality of the covariance intersection fusion of multiple estimates. Further, an extension of the existing family of upper bounds is proposed, which makes it possible to get closer to the optimum, and a general case is discussed. All results are obtained analytically and illustrated graphically.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2018, 28, 3; 521-530
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł