Sparse Channel Estimation and Equalization for OFDM-Based Underwater Cooperative Systems With Amplify-and-Forward Relaying

2016 ◽  
Vol 64 (1) ◽  
pp. 214-228 ◽  
Author(s):  
Erdal Panayirci ◽  
Habib Senol ◽  
Murat Uysal ◽  
H. Vincent Poor
Keyword(s):  
Channel Estimation ◽  
Cooperative Systems ◽  
Amplify And Forward ◽  
Sparse Channel Estimation ◽  
Amplify And Forward Relaying ◽  
Channel Estimation And Equalization ◽  
Sparse Channel

scholarly journals Sparse Channel Estimation for MIMO-OFDM Two-Way Relay Network with Compressed Sensing

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Aihua Zhang ◽  
Shouyi Yang ◽  
Guan Gui
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Relay Network ◽  
Estimation Methods ◽  
Relay Channel ◽  
Amplify And Forward ◽  
Sparse Channel Estimation ◽  
Sparse Channel

Accurate channel impulse response (CIR) is required for equalization and can help improve communication service quality in next-generation wireless communication systems. An example of an advanced system is amplify-and-forward multiple-input multiple-output two-way relay network, which is modulated by orthogonal frequency-division multiplexing. Linear channel estimation methods, for example, least squares and expectation conditional maximization, have been proposed previously for the system. However, these methods do not take advantage of channel sparsity, and they decrease estimation performance. We propose a sparse channel estimation scheme, which is different from linear methods, at end users under the relay channel to enable us to exploit sparsity. First, we formulate the sparse channel estimation problem as a compressed sensing problem by using sparse decomposition theory. Second, the CIR is reconstructed by CoSaMP and OMP algorithms. Finally, computer simulations are conducted to confirm the superiority of the proposed methods over traditional linear channel estimation methods.

A Low-Complexity Sparse Channel Estimation Method for OFDM Systems

2010 ◽  
Vol E93-B (8) ◽  
pp. 2211-2214
Author(s):  
Bin SHENG ◽  
Pengcheng ZHU ◽  
Xiaohu YOU ◽  
Lan CHEN
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Low Complexity ◽  
Ofdm Systems ◽  
Sparse Channel Estimation ◽  
Sparse Channel
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