Statistical Peak to Average Power Ratio Bound
| Autor: | Bendimerad Mohammed Yassine |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Mathematical optimization
Computer Networks and Communications Orthogonal frequency-division multiplexing Stochastic process Gaussian Probability density function Context (language use) Upper and lower bounds symbols.namesake Hardware and Architecture Signal Processing Media Technology symbols Applied mathematics Electrical and Electronic Engineering Extreme value theory Central limit theorem Mathematics |
| Zdroj: | International Journal on Communications Antenna and Propagation (IRECAP). 5:190 |
| ISSN: | 2533-2929 2039-5086 |
| DOI: | 10.15866/irecap.v5i4.5734 |
| Popis: | Central limit theorem, modern extreme value theory and the theory that the discrete orthogonal frequency division multiplexing signals converge weakly to a Gaussian random process are generally employed to derive the best approximation of peak-to-average power ratio distributions of discrete-time and continuous-time signals. In this paper, we arrive at a simple, rigorously justified, and accurate expression of the upper bound of the probability density function of the PAPR in context of orthogonal frequency division multiplexing systems. Since this bound has a complex expression not convenient to deal with in practice, we show also the demonstration of an accurate estimation of the proposed bound. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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