Iterative Bayesian-based localization mechanism with mixture distribution
Hilleshein, Henrique; de Lima, Carlos H. M.; Alves, Hirley; Latva-aho, Matti (2020-03-17)
Institute of Electrical and Electronics Engineers
17.03.2020
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
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© 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.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020052538854
https://urn.fi/URN:NBN:fi-fe2020052538854
Tiivistelmä
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.
Kokoelmat
- Avoin saatavuus [38841]