Cargando…
Transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots
Data-nulling superimposed pilot (DNSP) effectively alleviates the superimposed interference of superimposed training (ST)-based channel estimation (CE) in orthogonal frequency division multiplexing (OFDM) systems, while facing the challenges of the estimation accuracy and computational complexity. B...
Autores principales: | Qing, Chaojin, Dong, Lei, Wang, Li, Ling, Guowei, Wang, Jiafan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140250/ https://www.ncbi.nlm.nih.gov/pubmed/35622869 http://dx.doi.org/10.1371/journal.pone.0268952 |
Ejemplares similares
-
Deep learning for 1-bit compressed sensing-based superimposed CSI feedback
por: Qing, Chaojin, et al.
Publicado: (2022) -
Spectrally efficient optical orthogonal frequency division multiplexing
por: Lowery, Arthur James
Publicado: (2020) -
Channel estimation based on superimposed pilot and weighted averaging
por: Wu, Qun, et al.
Publicado: (2022) -
Low Complexity Equalization of Orthogonal Chirp Division Multiplexing in Doubly-Selective Channels
por: Wang, Xin, et al.
Publicado: (2020) -
Capacity limit for faster-than-Nyquist non-orthogonal frequency-division multiplexing signaling
por: Zhou, Ji, et al.
Publicado: (2017)