Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maha Abdelkhalek"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5821 (2024)
In this paper, we propose a new data-aided (DA) joint angle and delay (JADE) maximum likelihood (ML) estimator. The latter consists of a substantially modified and, hence, significantly improved gray wolf optimization (GWO) technique by fully integra
Externí odkaz:
https://doaj.org/article/c6b20dad99a1443d9bc2dc73cf5c728f
Publikováno v:
ICC 2022 - IEEE International Conference on Communications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cb9ed36e4faf80e962ab409e85989db
https://doi.org/10.1109/icc45855.2022.9838663
https://doi.org/10.1109/icc45855.2022.9838663
Publikováno v:
CAMSAP
In this paper, we tackle the problem of joint angles and time delays estimation (JADE) in a non-data aided (NDA) scenario where the transmitted signal is unknown at the receiver. We do so by applying the maximum likelihood (ML) in order to obtain the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::501dd35a62f39b23c5642c18cc140c67
https://doi.org/10.1109/camsap45676.2019.9022674
https://doi.org/10.1109/camsap45676.2019.9022674
Autor:
Abdelkhalek, Maha1 (AUTHOR) maha.abdelkhalek@inrs.ca, Ben Amor, Souheib1,2 (AUTHOR) sofiene.affes@inrs.ca, Affes, Sofiène1 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 17, p5821. 15p.