On Wiener phase noise channels at high Signal-to-Noise Ratio
| Autor: | Hassan Ghozlan, Gerhard Kramer |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
FOS: Computer and information sciences
Noise temperature Computer Science - Information Theory Information Theory (cs.IT) Noise spectral density Speech recognition White noise Noise floor Noise (electronics) symbols.namesake Additive white Gaussian noise Gaussian noise Phase noise symbols Algorithm Computer Science::Information Theory Mathematics |
| Zdroj: | ISIT |
| DOI: | 10.1109/isit.2013.6620632 |
| Popis: | Consider a waveform channel where the transmitted signal is corrupted by Wiener phase noise and additive white Gaussian noise (AWGN). A discrete-time channel model that takes into account the effect of filtering on the phase noise is developed. The model is based on a multi-sample receiver which, at high Signal-to-Noise Ratio (SNR), achieves a rate that grows logarithmically with the SNR if the number of samples per symbol grows with the square-root of the SNR. Moreover, the pre-log factor is at least 1/2 in this case. Comment: Submitted to ISIT 2013 |
| Databáze: | OpenAIRE |
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