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

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...

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Bibliographic Details
Main Authors: Benjamin Siebler, Stephan Sand, Uwe D. Hanebeck
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Bayesian Cramér-Rao lower bound
finger-printing
Gaussian process
indoor localization
magnetic field-based localization
particle filter
Online Access:https://ieeexplore.ieee.org/document/9957005/

Internet

https://ieeexplore.ieee.org/document/9957005/

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