Name
Title | ||
|---|---|---|
System-level performance evaluation of MMSE MIMO turbo equalization techniques using measurement data |
Abstract | ||
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ABSTRACT Inthis paper, system-level performance of three different MMSE turbo MIMO equalization techniques is evaluated in realistic sce- narios. Soft cancellation and minimum mean squared error filter- ing (SC/MMSE) turbo equalization and its complexity reduced version, turbo equalized diversity, is considered. Furthermore, another version of equalized diversity, turbo equalized diversity with common SC/MMSE, which exploits the transmit diversity and coding gain through the cross-wise iterations over the decoding branches, is evaluated. The multi-dimensional channel sounding measurement data used for the simulations consists of snapshots measured in different channel conditions in terms of spatial and temporal properties. The system-level assessment is in terms of outage probabilities of the performance figures such as bit and frame error rates obtained by evaluating their cumulative probabil- ity densities as well as throughput efficiencies using the field meas- urement data. It is found that the receivers considered in this pa- per can all provide reasonable system-level performance. However, turbo equalized diversity receiver is more sensitive to the channel conditions than the original SC/MMSE equalizer. It is also found that the performance gain, obtained from the cross-wise iteration over the decoding branches in the turbo equalized diversity with common SC/MMSE technique, is significant. |
Year | Venue | Keywords |
|---|---|---|
2006 | EUSIPCO | mimo communication,channel estimation,diversity reception,equalisers,iterative methods,least mean squares methods,mimo turbo equalization technique,mmse turbo equalization technique,complexity reduced version,cross-wise iteration,cumulative probability density,measurement data,minimum mean squared error filtering,multidimensional channel sounding,soft cancellation,system-level performance evaluation,turbo equalized diversity |
Field | DocType | ISSN |
Turbo,Coding gain,Telecommunications,Channel sounding,Computer science,Minimum mean square error,Algorithm,MIMO,Turbo equalizer,Decoding methods,Transmit diversity | Conference | 2219-5491 |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariella Särestöniemi | 1 | 9 | 6.03 |
| Tad Matsumoto | 2 | 420 | 45.78 |
| Christian Schneider | 3 | 18 | 3.36 |
| Reiner S. Thomä | 4 | 26 | 6.23 |