Slepian-Based Two-Dimensional Estimation of Time-Frequency Variant MIMO-OFDM Channels

2008 ◽  
Vol 15 ◽  
pp. 21-24 ◽  
Author(s):  
P. Salvo Rossi ◽  
R.R. Muller
Keyword(s):  
Two Dimensional ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Estimation Of Time

Linear MMSE estimation of time–frequency variant channels for MIMO-OFDM systems

2011 ◽  
Vol 91 (5) ◽  
pp. 1157-1167 ◽  
Author(s):  
Pierluigi Salvo Rossi ◽  
Ralf R. Müller ◽  
Ove Edfors
Keyword(s):  
Ofdm Systems ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Mmse Estimation ◽  
Estimation Of Time

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
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