Peak-to-Average Power Ratio and CCDF
Peak to Average Power Ratio (PAPR) is often used to characterize digitally modulated signals. One example application is setting the level of the signal in a digital modulator. Knowing PAPR allows setting the average power to a level that is just low enough to minimize clipping.
Summary
This 2016 paper explains Peak-to-Average Power Ratio (PAPR) and how to use the complementary cumulative distribution function (CCDF) to characterize digitally modulated signals. It shows how CCDF-based estimates guide setting average signal levels in modulators to minimize clipping and discusses practical measurement considerations.
Key Takeaways
- Compute PAPR for digitally modulated waveforms using time-domain samples and appropriate oversampling.
- Use CCDF to quantify the probability that signal peaks exceed a chosen PAPR threshold for setting amplifier back-off.
- Determine the average power setting required to minimize clipping based on CCDF statistics.
- Assess the impact of oversampling, windowing, and finite observation length on PAPR/CCDF estimation accuracy.
- Apply and evaluate common PAPR-reduction methods (e.g., clipping, coding, tone reservation) and their trade-offs with distortion and complexity.
Who Should Read This
Intermediate communications or RF engineers designing modulators and power amplifiers who need to quantify PAPR and set power/back-off to avoid clipping and distortion.
Still RelevantIntermediate
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