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
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Publish Date: | 2020-05-25 |
Description: |
AbstractWe 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
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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: | |
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: |
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