Cumulant Matrix-based Channel Estimation for Near-Field Massive MIMO Systems

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 89
  • Download : 0
This paper presents an efficient channel estimation method for near-field massive multi-input multi-output (MIMO) systems. To estimate the channel parameters in terms of angles and ranges to the scatterers at the transmitter and receiver sides, we formulate the signal model for massive MIMO systems as a function of angle and range parameters. The signal model is then used to construct the fourth-order cumulant matrix, from which 2-dimensional (2D) multiple signal classification (MUSIC) pseudo-spectrums for the angles and ranges are derived. The effectiveness of the proposed algorithm is verified through simulation by comparing with the conventional channel estimation techniques.
Publisher
IEEE
Issue Date
2021-10-22
Language
English
Citation

12th International Conference on ICT Convergence (ICTC) - Beyond the Pandemic Era with ICT Convergence Innovation, pp.1603 - 1608

ISSN
2162-1233
DOI
10.1109/ICTC52510.2021.9620981
URI
http://hdl.handle.net/10203/290400
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0