Adaptive low-rank MIMO-OFDM channel estimation

2005 ◽  
Author(s):  
M.K. Ozdemir ◽  
H. Arslan ◽  
E. Arvas
Keyword(s):  
Channel Estimation ◽  
Low Rank ◽  
Mimo Ofdm

scholarly journals Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems

2017 ◽  
Vol 35 (7) ◽  
pp. 1524-1538 ◽  
Author(s):  
Zhou Zhou ◽  
Jun Fang ◽  
Linxiao Yang ◽  
Hongbin Li ◽  
Zhi Chen ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Millimeter Wave ◽  
Tensor Decomposition ◽  
Low Rank ◽  
Ofdm Systems ◽  
Rank Tensor ◽  
Mimo Ofdm

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.

A Sparsity Enhanced Channel Estimation Algorithm Based on Compressed Sensing in MIMO-OFDM Systems

2014 ◽  
Vol 35 (3) ◽  
pp. 665-670 ◽  
Author(s):  
Zhi-bin Xie ◽  
Tong-si Xue ◽  
Yu-bo Tian ◽  
Wei-chen Zou ◽  
Qing-hua Liu ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Estimation Algorithm ◽  
Ofdm Systems ◽  
Mimo Ofdm
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