Abstract
An adaptive reduced-state sequence estimation (RSSE) receiver based on per-survivor processing (PS) in conjunction with a local decision feedback equalizer (DFE) for the EDGE system with 8PSK modulation is proposed in this paper. A pre-filter prior to the RSSE-PSP is exploited to reshape the channel impulse response (CIR) to have approximately a minimum phase property. The pre-filter settings are computed indirectly by estimating the CIR from the midamble with the least squares algorithm and then applying the minimum-mean square error (MMSE) criterion to reshape the estimated CIR. The proposed scheme handles the first part of the sampled CIR by the RSSE-PSP and the rest by the local DFE, which utilizes the decision per survivor mechanism for reducing the error propagation and complexity reduction. A good trade-off between the performance and complexity could be achieved by retaining the RSSE-PSP for good performance and local DFE for intersymbol interference cancellation. Computer simulations indicate that the RSSE-PSP with a pre-filter works well in ISI channels with a lower computation burden.
| Original language | English |
|---|---|
| Title of host publication | 2003 IEEE International Conference on Communications, ICC '03 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 3594-3598 |
| ISBN (Print) | 978-0-7803-7802-5 |
| DOIs | |
| Publication status | Published - 11 Jun 2003 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE International Conference on Communications, ICC 2003 - Anchorage, United States Duration: 11 May 2003 → 15 May 2003 |
Conference
| Conference | IEEE International Conference on Communications, ICC 2003 |
|---|---|
| Abbreviated title | ICC '03 |
| Country/Territory | United States |
| City | Anchorage |
| Period | 11/05/03 → 15/05/03 |
Keywords
- Decision feedback equalizers
- Intersymbol interference
- Time varying systems
- Interference cancellation
- Computer simulation
- Delay estimation
- Computer errors
- Least squares approximation
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