Machine learning-based channel estimation for insufficient redundancy OFDM receivers using comb-type pilot arrangement

Marcele O. K. Mendonça, Paulo S. R. Diniz, Tadeu N. Ferreira. Machine learning-based channel estimation for insufficient redundancy OFDM receivers using comb-type pilot arrangement. In Igor M. Moraes, Miguel Elias M. Campista, Yacine Ghamri-Doudane, Luís Henrique M. K. Costa, Marcelo G. Rubinstein, editors, IEEE Latin-American Conference on Communications, LATINCOM 2022, Rio de Janeiro, Brazil, November 30 - Dec. 2, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{MendoncaDF22,
  title = {Machine learning-based channel estimation for insufficient redundancy OFDM receivers using comb-type pilot arrangement},
  author = {Marcele O. K. Mendonça and Paulo S. R. Diniz and Tadeu N. Ferreira},
  year = {2022},
  doi = {10.1109/LATINCOM56090.2022.10000572},
  url = {https://doi.org/10.1109/LATINCOM56090.2022.10000572},
  researchr = {https://researchr.org/publication/MendoncaDF22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE Latin-American Conference on Communications, LATINCOM 2022, Rio de Janeiro, Brazil, November 30 - Dec. 2, 2022},
  editor = {Igor M. Moraes and Miguel Elias M. Campista and Yacine Ghamri-Doudane and Luís Henrique M. K. Costa and Marcelo G. Rubinstein},
  publisher = {IEEE},
  isbn = {978-1-6654-8225-7},
}