| Title: | Linear Fusion with Element-Wise Knowledge |
| Authors: | Ajgl, Jiří Straka, Ondřej |
| Citation: | AJGL, J. STRAKA, O. Linear Fusion with Element-Wise Knowledge. In Proceedings of the 25th International Conference on Information Fusion, FUSION 2022. New York: IEEE, 2022. s. 1-8. ISBN: 978-1-73774-972-1 , ISSN: neuvedeno |
| Issue Date: | 2022 |
| Publisher: | IEEE |
| Document type: | konferenční příspěvek ConferenceObject |
| URI: | 2-s2.0-85136596359 http://hdl.handle.net/11025/50800 |
| ISBN: | 978-1-73774-972-1 |
| ISSN: | neuvedeno |
| Keywords in different language: | Covariance Intersection;distributed estimation;multisensor data fusion;partially known correlation |
| Abstract in different language: | The process of combining data and estimates is inherent in estimation problems. This paper focuses on the linear fusion under the assumption that only some elements of the cross-correlation matrix of the estimation errors are known. Configurations of the knowledge are discussed individually for up to five estimates. For an arbitrary number of estimates, a general construction of upper bounds of the joint mean square error matrix is proposed. Last, the relation with the Split Covariance Intersection fusion is discussed. © 2022 International Society of Information Fusion. |
| Rights: | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © International Society of Information Fusion |
| Appears in Collections: | Konferenční příspěvky / Conference papers (NTIS) OBD |
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