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Hilleshein, H., de Lima, C. H. M., Alves, H., Latva-aho, M., Iterative Bayesian-based localization mechanism with mixture distribution, 2nd 6G Wireless Summit (6G SUMMIT). 17 March 2020, p. 1-2

Iterative Bayesian-based localization mechanism with mixture distribution

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Author: Hilleshein, Henrique1; de Lima, Carlos H. M.1; Alves, Hirley1;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland
Format: abstract
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020052538854
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-05-25
Description:

Abstract

We evaluated the performance of a RSS-based positioning system that uses an iterative Bayesian network with mixture distribution. It showed a better performance than the previous Bayesian network literature.

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Pages: 1 - 2
Host publication: 2nd 6G Wireless Summit (6G SUMMIT). 17 March 2020
Conference: 6G Wireless Summit
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Abstract
Funding: The research leading to these results has received funding from the Academy of Finland through the projects 6Genesis Flagship (Grant No. 318927).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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