Millimeter Wave Channel Estimation Based on Clustering Block Sparse Bayesian Learning

2019 ◽  
Author(s):  
Jiawen Liu ◽  
Xiaohui Li ◽  
Kun Fang ◽  
Tao Fan
Keyword(s):  
Channel Estimation ◽  
Millimeter Wave ◽  
Bayesian Learning ◽  
Sparse Bayesian Learning ◽  
Wave Channel

scholarly journals WSDSBL Method for Wideband Channel Estimation in Millimeter-Wave MIMO Systems with Lens Antenna Array

2020 ◽  
pp. 826-832
Author(s):  
Jicheng Dong ◽  
◽  
Wei Zhang ◽  
Bowen Yang ◽  
Xihong Sang
Keyword(s):  
Channel Estimation ◽  
Millimeter Wave ◽  
Communication Systems ◽  
Bayesian Learning ◽  
Mimo Systems ◽  
Estimation Accuracy ◽  
Sparse Bayesian Learning ◽  
Low Snr ◽  
Estimation Scheme ◽  
Wideband Channel

In millimeter wave (mmWave) communication systems, Channel State Information(CSI) is extremely essential for beamforming. The traditional Successive Support Detection (SSD) algorithm can achieve high wideband channel estimation accuracy, but it only used least square (LS) algorithm to recover the detected channel part, the estimation accuracy is low under low SNR regions. To tackle this problem, in this paper, inspired by the classic Support Detection (SD) channel estimation scheme in narrowband, we propose an efficient Wideband Support Detection Sparse Bayesian Learning (WSDSBL) channel estimation scheme. For every subcarrier, we first detect the support of the wideband beamspace channel of the subcarrier, then we use the Sparse Bayesian Learning (SBL) scheme to recover it. Simulation results show that the proposed WSDSBL channel estimation algorithm is better than conventional wideband channel estimation schemes in MSE performance and achievable sum-rate performance, especially in low SNR regions.

scholarly journals Research on 5G Millimeter Wave Channel Estimation Algorithm

2019 ◽  
pp. 74-77
Author(s):  
Xu Shuang
Keyword(s):  
Channel Estimation ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Large Scale ◽  
Low Frequency ◽  
Estimation Algorithm ◽  
Simulation Research ◽  
Wave Technology ◽  
Wave Channel ◽  
Mimo Technology

With the explosive growth in the number of communication users and the huge demand for data from users, Limited low-frequency resources have been far from being satisfied by users. The combination of Massive MIMO technology and millimeter-wave technology has brought new hope to users. In this paper, several basic algorithms are placed under the millimeter wave large-scale antenna channel for simulation research.

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