A Channel Estimation Scheme with Switched Space-time-Frequency Orthogonal Coding for MIMO OFDM Systems

2006 ◽  
Author(s):  
A.D. Marousis ◽  
P. Constantinou
Keyword(s):  
Channel Estimation ◽  
Space Time ◽  
Ofdm Systems ◽  
Time Frequency ◽  
Estimation Scheme ◽  
Mimo Ofdm

Semi-Blind Receivers for Joint Symbol and Channel Estimation in Space-Time-Frequency MIMO-OFDM Systems

2013 ◽  
Vol 61 (21) ◽  
pp. 5444-5457 ◽  
Author(s):  
Kefei Liu ◽  
Joao Paulo C. L. da Costa ◽  
H. C. So ◽  
Andre L. F. de Almeida
Keyword(s):  
Channel Estimation ◽  
Space Time ◽  
Ofdm Systems ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Blind Receivers

Improving Space-Time-Frequency MIMO-OFDM with ICI Self-Cancellation Scheme using Least Square Error Estimator

2015 ◽  
Vol 12 (1) ◽  
pp. 25
Author(s):  
Nur Farahiah Ibrahim ◽  
Zahari Abu Bakar ◽  
Azlina Idris
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Symbol Error Rate ◽  
Space Time ◽  
Least Square ◽  
Error Estimator ◽  
Frequency Diversity ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Subcarrier Mapping

Channel estimation techniques for Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) based on comb type pilot arrangement with least-square error (LSE) estimator was investigated with space-time-frequency (STF) diversity implementation. The frequency offset in OFDM effected its performance. This was mitigated with the implementation of the presented inter-carrier interference self-cancellation (ICI-SC) techniques and different space-time subcarrier mapping. STF block coding in the system exploits the spatial, temporal and frequency diversity to improve performance. Estimated channel was fed into a decoder which combined the STF decoding together with the estimated channel coefficients using LSE estimator for equalization. The performance of the system was compared by measuring the symbol error rate with a PSK-16 and PSK-32. The results show that subcarrier mapping together with ICI-SC were able to increase the system performance. Introduction of channel estimation was also able to estimate the channel coefficient at only 5dB difference with a perfectly known channel.

Time–Frequency Joint Sparse Channel Estimation for MIMO-OFDM Systems

2015 ◽  
Vol 19 (1) ◽  
pp. 58-61 ◽  
Author(s):  
Wenbo Ding ◽  
Fang Yang ◽  
Wei Dai ◽  
Jian Song
Keyword(s):  
Channel Estimation ◽  
Ofdm Systems ◽  
Sparse Channel Estimation ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Sparse Channel

A Layered Space-Time-Frequency Coded Transmission for MIMO-OFDM Systems

2007 ◽  
Author(s):  
Soon Up Hwang ◽  
Jong-Soo Seo
Keyword(s):  
Space Time ◽  
Ofdm Systems ◽  
Time Frequency ◽  
Mimo Ofdm

CTH03-1: Reduced Complexity Receiver Design for MIMO-OFDM Systems with Space-Time-Frequency Coding

2006 ◽  
Author(s):  
Shaohua Li ◽  
Defeng Huang ◽  
K. B. Letaief ◽  
Zucheng Zhou
Keyword(s):  
Space Time ◽  
Receiver Design ◽  
Ofdm Systems ◽  
Time Frequency ◽  
Frequency Coding ◽  
Mimo Ofdm ◽  
Reduced Complexity

Fast blind channel estimation for space–time block coded MIMO–OFDM systems

2016 ◽  
Vol 65 (3) ◽  
pp. 443-457 ◽  
Author(s):  
Biling Zhang ◽  
Jung-Lang Yu ◽  
Yipu Yuan ◽  
Jian-Wei Lai
Keyword(s):  
Channel Estimation ◽  
Space Time ◽  
Blind Channel Estimation ◽  
Ofdm Systems ◽  
Time Block ◽  
Blind Channel ◽  
Mimo Ofdm

New space-time-frequency codes for MIMO-OFDM systems in fast fading channel

2003 ◽  
Author(s):  
Gang Wu ◽  
Lei Zhang ◽  
You-Xi Tang ◽  
Shao-Qian Li ◽  
Yu Wang
Keyword(s):  
Fading Channel ◽  
Space Time ◽  
Ofdm Systems ◽  
Time Frequency ◽  
Fast Fading ◽  
Mimo Ofdm ◽  
New Space
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