Abstract
In this paper, we derive a performance comparison between two training-based schemes for MIMO semi-blind channel estimation. The two schemes are the conventional superimposed training scheme and the more recently proposed data-dependent superimposed pilot scheme. For both schemes, a closed-form for the outage probability and a lower bound of the bit error rate are given. We also determine for the data-dependant superimposed training scheme the optimal allocation of power between pilot and data. Once the optimal data and training power are set, we prove analytically that the optimum data-dependent superimposed scheme always outerperforms the conventional superimposed training scheme.
| Original language | English (US) |
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| Title of host publication | SPAWC 2007 - 8th IEEE Workshop on Signal Advances in Wireless Communications |
| State | Published - 2007 |
| Externally published | Yes |
| Event | 8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007 - Helsinki, Finland Duration: Jun 17 2007 → Jun 20 2007 |
Other
| Other | 8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007 |
|---|---|
| Country/Territory | Finland |
| City | Helsinki |
| Period | 06/17/07 → 06/20/07 |
Keywords
- Linear receiver
- MIMO systems performance
- Semi-blind channel estimation
- Superimposed training sequence
ASJC Scopus subject areas
- Signal Processing
- Engineering(all)