Distributed Compressed Sensing-Based Channel Estimation and Pilot Allocation for MIMO Relay Networks

2018 ◽  
Vol 43 (S1) ◽  
pp. 159-170
Author(s):  
Abbas Akbarpour-Kasgari ◽  
Mehrdad Ardebilipour
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Relay Networks ◽  
Distributed Compressed Sensing ◽  
Mimo Relay ◽  
Pilot Allocation

Pilot allocation approaches for channel estimation in MIMO relay networks

2018 ◽  
Vol 12 (16) ◽  
pp. 2030-2037 ◽  
Author(s):  
Abbas Akbarpour-Kasgari ◽  
Mehrdad Ardebilipour
Keyword(s):  
Channel Estimation ◽  
Relay Networks ◽  
Mimo Relay ◽  
Pilot Allocation

Compressed Sensing Based Channel Estimation for Two-Way Relay Networks

2012 ◽  
Vol 1 (3) ◽  
pp. 201-204 ◽  
Author(s):  
Peng Cheng ◽  
Lin Gui ◽  
Yun Rui ◽  
Y. Jay Guo ◽  
Xiaojing Huang ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Relay Networks

Distributed Compressed Sensing Based Channel Parameter Estimation for MIMO-FBMC Communications

2021 ◽  
Author(s):  
Han Wang ◽  
Xianpeng Wang
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Signal Reconstruction ◽  
Estimation Method ◽  
Sparse Signal ◽  
Weak Selection ◽  
Sparse Signal Reconstruction ◽  
Distributed Compressed Sensing ◽  
Time Frequency ◽  
Selection Threshold

Abstract For the sparse correlation between channels in multiple input multiple output filter bank multicarrier with offset quadrature amplitude modulation (MIMO-FBMC/OQAM) systems, the distributed compressed sensing (DCS)-based channel estimation approach is studied. A sparse adaptive distributed sparse channel estimation method based on weak selection threshold is proposed. Firstly, the correlation between MIMO channels is utilized to represent a joint sparse model, and channel estimation is transformed into a joint sparse signal reconstruction problem. Then, the number of correlation atoms for inner product operation is optimized by weak selection threshold, and sparse signal reconstruction is realized by sparse adaptation. The experiment results show that proposed DCS-based method not only estimates the multipath channel components accurately but also achieves higher channel estimation performance than classical orthogonal matching pursuit (OMP) method and other traditional DCS methods in the time-frequency dual selective channels.

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