MT-GCNN: Multi-Task Learning with Gated Convolution for Multiple Transmitters Localization in Urban Scenarios

With the advance of the Internet of things (IoT), localization is essential in varied services. In urban scenarios, multiple transmitters localization is faced with challenges such as nonline-of-sight (NLOS) propagation and limited deployment of sensors. To this end, this paper proposes the MT-GCNN...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Wenyu, Zhu, Lei, Huang, Zhen, Li, Baozhu, Yu, Lu, Cheng, Kaixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694210/
https://www.ncbi.nlm.nih.gov/pubmed/36433270
http://dx.doi.org/10.3390/s22228674

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694210/
https://www.ncbi.nlm.nih.gov/pubmed/36433270
http://dx.doi.org/10.3390/s22228674

Ejemplares similares