Iterative Bayesian-based localization mechanism with mixture distribution
|Author:||Hilleshein, Henrique1; de Lima, Carlos H. M.1; Alves, Hirley1;|
1Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020052538854
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-05-25
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.
|Pages:||1 - 2|
2nd 6G Wireless Summit (6G SUMMIT). 17 March 2020
6G Wireless Summit
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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 (Academy of Finland Funding decision)
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