Efficient Compressed Sensing Based Non-Sample Spaced Sparse Channel Estimation in OFDM System

Efficient Compressed Sensing Based Non-Sample Spaced Sparse Channel Estimation in OFDM System

This paper aims to develop an efficient compressed sensing (CS) based channel estimation method for non-sample spaced sparse channels in orthogonal frequency division multiplexing (OFDM) systems, which can effectively balance the channel estimation performance, spectral efficiency and computational...

Full description

Bibliographic Details
Main Authors: Hui Xie, Yide Wang, Guillaume Andrieux, Xinmin Ren
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Orthogonal frequency division multiplexing (OFDM)
compressed sensing (CS)
channel estimation
delay tracking and residual norm minimization (DT-RNM)
reference delay grids (RDG)
nonsample spaced sparse channels
Online Access:https://ieeexplore.ieee.org/document/8835084/

Internet

https://ieeexplore.ieee.org/document/8835084/

Similar Items