MIMO Time-Varying Channel Tracking with a Polynomial Channel Model via Particle Filtering

2009 ◽  
Author(s):  
Du Zheng-cong ◽  
Liu Li-xin ◽  
Xu Li-jun
Keyword(s):  
Particle Filtering ◽  
Channel Model ◽  
Time Varying ◽  
Channel Tracking ◽  
Time Varying Channel

scholarly journals The research methods of a time-varying channel model of the XCTD profiler

2015 ◽  
Vol 12 (5) ◽  
pp. 849-856 ◽  
Author(s):  
Yu Zheng ◽  
Yu Gao ◽  
Jing Fang ◽  
GuoMin Song ◽  
YingSheng Shang ◽  
...  
Keyword(s):  
Research Methods ◽  
Channel Model ◽  
Time Varying ◽  
Time Varying Channel

RAAH: Reliability Aware Adaptive Hopping Scheme on Time-varying Channel model in WSN

2013 ◽  
Vol 8 (1) ◽  
pp. 16-25
Author(s):  
Shihong Duan ◽  
Yadong Wan ◽  
Zhiqiang Guo ◽  
Qin Wang
Keyword(s):  
Channel Model ◽  
Time Varying ◽  
Time Varying Channel

Modeling of MIMO Time-Varying Channel

2012 ◽  
Vol 241-244 ◽  
pp. 2430-2433
Author(s):  
Hua Li ◽  
Jian Fang Shi ◽  
Juan Ping Wu ◽  
Run Fang Hao
Keyword(s):  
Channel Capacity ◽  
Channel Model ◽  
Time Correlation ◽  
System Capacity ◽  
Mimo Channel ◽  
Time Varying ◽  
Evaluation Of Performance ◽  
Communication Environment ◽  
Capability Analysis ◽  
Time Varying Channel

Wireless communication environment is very complex, so it is difficult to modeling of MIMO channel. A MIMO channel model was brought forward which has frequency selectivity, and time correlation. Simulation shows this related channel capacity is consistent with theoretical channel capacity. So this model provides powerful implement for simulation of MIMO capability, analysis of system capacity and evaluation of performance.

scholarly journals Joint Channel Tracking and Data Detection for Massive MIMO Uplink Over Time-Varying Channel

2021 ◽  
Author(s):  
Yuya Akiba ◽  
Shinya Sugiura
Keyword(s):  
Multiple Input Multiple Output ◽  
Data Detection ◽  
Time Varying ◽  
Data Frame ◽  
Detection Scheme ◽  
Channel Tracking ◽  
Continuous Output ◽  
Input Multiple Output ◽  
Time Varying Channel ◽  
Joint Channel

In this letter, we propose a novel joint channel estimation and data detection scheme for massive multiple-input multiple-output (MIMO) uplink, which operates in a time-varying fading channel. More specifically, at the receiver of the proposed scheme, a data frame is divided into multiple blocks, and in each block, a demodulated data block is used for updating channel state information (CSI) in an iterative manner. Furthermore, the initial CSI in the block of interest is given by the estimated CSI in the previous block, hence allowing accurate tracking of CSI in a time-varying channel without imposing additional pilot insertion inside the data frame. Since the length of the divided blocks affects both the achievable channel tracking and data detection performances, it is optimized so as to maximize the discrete-input continuous-output memoryless channel's (DCMC) capacity derived in this letter. It is demonstrated that the DCMC capacity of the proposed scheme is capable of nearly achieving those of the perfect CSI counterpart without imposing any substantial pilot overhead.

scholarly journals Time Varying Channel Tracking With Spatial and Temporal BEM for Massive MIMO Systems

2018 ◽  
Vol 17 (8) ◽  
pp. 5653-5666 ◽  
Author(s):  
Jianwei Zhao ◽  
Hongxiang Xie ◽  
Feifei Gao ◽  
Weimin Jia ◽  
Shi Jin ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Time Varying ◽  
Channel Tracking ◽  
Time Varying Channel
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