A Multiple-Symbol Differential Detection Based on Channel Prediction for Fast Time-Varying Fading
| Autor: | Hiroshi Kubo, Kazuo Tanada, Akihiro Okazaki, Keishi Murakami, Bertrand Penther |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Sequence
Computer Networks and Communications Computer science Estimation theory Speech recognition Computer Science::Software Engineering Maximum likelihood sequence estimation Channel state information Bit error rate Fading Electrical and Electronic Engineering Differential (infinitesimal) Algorithm Software Computer Science::Information Theory Communication channel |
| Zdroj: | IEICE Transactions on Communications. :3393-3400 |
| ISSN: | 1745-1345 0916-8516 |
| DOI: | 10.1093/ietcom/e88-b.8.3393 |
| Popis: | This paper discusses a generalized concept of multiple-symbol differential detection (MDD) and analytically derives weight parameters based on channel prediction for MDD on fast time-varying channels. At first, this paper shows that adaptive maximum-likelihood sequence estimation employing per-survivor processing (PSP-MLSE) with a single channel tap is similar concept to MDD. Next, the weight parameters for MDD are derived according to the channel estimation of PSP-MLSE based on a high order channel prediction. Finally, computer simulation confirms that MDD with the analytically derived parameters mitigates floor of bit error rate (BER) on fast time-varying fading channels without channel state information. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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