An Auxiliary Variable-Aided Hybrid Message Passing Approach to Joint Channel Estimation and Decoding for MIMO-OFDM

2017 ◽  
Vol 24 (1) ◽  
pp. 12-16 ◽  
Author(s):  
Zhengdao Yuan ◽  
Chuanzong Zhang ◽  
Zhongyong Wang ◽  
Qinghua Guo ◽  
Jiangtao Xi
Keyword(s):  
Channel Estimation ◽  
Message Passing ◽  
Auxiliary Variable ◽  
Mimo Ofdm ◽  
Joint Channel

Variational Message-Passing for Joint Channel Estimation and Decoding in MIMO-OFDM

2010 ◽  
Author(s):  
Gunvor E Kirkelund ◽  
Carles Navarro Manchon ◽  
Lars P. B. Christensen ◽  
Erwin Riegler ◽  
Bernard Henri Fleury
Keyword(s):  
Channel Estimation ◽  
Message Passing ◽  
Mimo Ofdm ◽  
Joint Channel

scholarly journals Message-Passing Receiver for Joint Channel Estimation and Decoding in 3D Massive MIMO-OFDM Systems

2016 ◽  
Vol 15 (12) ◽  
pp. 8122-8138 ◽  
Author(s):  
Sheng Wu ◽  
Linling Kuang ◽  
Zuyao Ni ◽  
Defeng Huang ◽  
Qinghua Guo ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Message Passing ◽  
Massive Mimo ◽  
Ofdm Systems ◽  
Mimo Ofdm ◽  
Joint Channel

Joint channel estimation and turbo equalisation for MIMO-OFDM-IM systems

2018 ◽  
Vol 106 (5) ◽  
pp. 721-740 ◽  
Author(s):  
Yu-Kuan Chang ◽  
Fang-Biau Ueng ◽  
Ye-Shun Shen ◽  
Cheng-Hui Liao
Keyword(s):  
Channel Estimation ◽  
Mimo Ofdm ◽  
Joint Channel

Joint Channel Estimation and Data Detection for STBC MIMO-OFDM Wireless Communication System

2015 ◽  
Vol 24 (04) ◽  
pp. 1550059 ◽  
Author(s):  
Gajanan R. Patil ◽  
Vishwanath K. Kokate
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Input Multiple Output ◽  
Data Detection ◽  
Channel Estimate ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Ofdm ◽  
The Cost ◽  
Joint Channel

This paper presents a joint channel estimation and data detection technique for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) system. Initial estimate of the channel is obtained using semi-blind channel estimation (SBCE). The whitening rotation (WR)-based orthogonal pilot maximum likelihood (OPML) method is used to obtain the channel estimate. The estimate is further enhanced by extracting information through the received data symbols. The performance of the proposed estimator is studied under various channel models. The simulation study shows that this approach gives better performance over training-based channel estimation (TBCE) and OPML SBCE methods but at the cost of higher computational complexity.

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