University of Oulu

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

Saved in:
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.

see all

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:
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)
Copyright information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.