Bayesian Cramér-Rao Lower Bound for Magnetic Field-Based Localization

In this paper, we show how to analyze the achievable position accuracy of magnetic localization based on Bayesian Cramér-Rao lower bounds and how to account for deterministic inputs in the bound. The derivation of the bound requires an analytical model, e.g., a map or database, that links the...

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Detalhes bibliográficos

Principais autores:	Benjamin Siebler, Stephan Sand, Uwe D. Hanebeck
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2022-01-01
coleção:	IEEE Access
Assuntos:	Bayesian Cramér-Rao lower bound finger-printing Gaussian process indoor localization magnetic field-based localization particle filter
Acesso em linha:	https://ieeexplore.ieee.org/document/9957005/
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