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Angle-of-Arrival based localization using polynomial chaos expansions

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Abstract

In this paper, polynomial chaos expansions are applied to angle-of-arrival based localization. By using a polynomial chaos expansion on a least squares estimator, a new positioning method is designed. Simulation results show that the proposed method returns precise information about the statistical distribution of the position.
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Dates and versions

hal-01852043 , version 1 (03-09-2019)

Identifiers

  • HAL Id : hal-01852043 , version 1

Cite

Thomas van Der Vorst, Mathieu van Eeckhaute, Aziz Benlarbi-Delai, Julien Sarrazin, François Quitin, et al.. Angle-of-Arrival based localization using polynomial chaos expansions. Proc. Workshop on Dependable Wireless Communications and Localization for the IoT, Sep 2017, Graz, Austria. ⟨hal-01852043⟩
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