Pilot embedding for joint channel estimation and data detection in MIMO communication systems

2003 ◽  
Vol 7 (1) ◽  
pp. 30-32 ◽  
Author(s):  
Haidong Zhu ◽  
B. Farhang-Boroujeny ◽  
C. Schlegel
Keyword(s):  
Channel Estimation ◽  
Communication Systems ◽  
Data Detection ◽  
Mimo Communication ◽  
Joint Channel

scholarly journals Deep-Learning-Aided Joint Channel Estimation and Data Detection for Spatial Modulation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 191910-191919 ◽  
Author(s):  
Luping Xiang ◽  
Yusha Liu ◽  
Thien Van Luong ◽  
Robert G. Maunder ◽  
Lie-Liang Yang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Channel Estimation ◽  
Spatial Modulation ◽  
Data Detection ◽  
Joint Channel

An Adaptive Multiple LS Channel Estimation Method for MIMO System

2012 ◽  
Vol 239-240 ◽  
pp. 1084-1088
Author(s):  
Jin Lun Chen
Keyword(s):  
Numerical Simulation ◽  
Channel Estimation ◽  
Communication Systems ◽  
Mimo System ◽  
Estimation Method ◽  
Linear Least Squares ◽  
Mimo Communication ◽  
Channel Estimate ◽  
Wide Range ◽  
Multiple Input

Accurate channel estimation plays a key role in multiple-input and multiple-output (MIMO) communication systems. In this paper, we firstly discuss the popular linear least squares (LS) channel estimation and the multiple LS (MLS) channel estimation. Then an adaptive multiple LS (AMLS) channel estimate approach is proposed. Using numerical simulation, it is found that the proposed estimation method outperforms LS and MLS for a wide range of training SNRs.

Sign in / Sign up

Export Citation Format

Share Document