A Least Informative Distribution of Ranging Errors in Robust Estimation of Localization
| Autor: | Georgy Shevlyakov, Kiseon Kim |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 854, Iss 24, Pp 402-407 (2019) |
| Druh dokumentu: | article |
| ISSN: | 2305-7254 2343-0737 |
| Popis: | In the framework of the Huber's minimax variance approach to designing robust estimates of localization parameters, a generalization of the classical least informative distributions minimizing Fisher information for location is obtained in the wide class of ranging error distributions with a bounded quantile value. The considered variational problem set up naturally originates from the real-life problem of estimation of the unknown coordinates of an asset surrounded by the beacons with known positions. |
| Databáze: | Directory of Open Access Journals |
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