Title
PAPR approximation of continuous-time WFRFT signals
Abstract
Recently an coordinated transmission approach to single carrier and multi-carrier convergence was proposed based on the weighted-type fractional Fourier transform (WFRFT). This hybrid carrier scheme also suffers the high peak to average power ratio (PAPR) since it contains the multi-carrier component. There is some research on the PAPR of WFRFT signals, whereas most of which only takes the discrete-time signals into consideration. In practice, the PAPR of continuous-time signals concerns us more than that of discrete-time signals. Therefore, this paper investigates the PAPR approximation of continuous-time WFRFT signals based on baseband discrete-time mapped signals. The PAPR approximation method of continuous-time WFRFT signals is proposed and numerical computations are implemented to show that the proposed approach can make discrete-time signal PAPR converges to continuous-time signal PAPR as the interpolation times L increases. Besides, L ≥ 8 is sufficient to approximate the continuous-time PAPR. Particularly, simulation results also indicate that the proposed approximation method can render clipping technique more efficient for continuous-time signal PAPR reduction.
Year
DOI
Venue
2014
10.1109/ICCS.2014.7024814
ICCS
Keywords
Field
DocType
fourier transforms,discrete time signals,clipping technique,signal processing,papr approximation,interpolation,approximation theory,continuous-time wfrft signals,single carrier convergence,continuous-time signals,baseband discrete-time mapped signals,hybrid carrier scheme,discrete-time signals,coordinated transmission,convergence of numerical methods,continuous-time signal papr reduction,peak to average power ratio,weighted-type fractional fourier transform,multicarrier convergence,peak to average power ratio (papr),approximation method,interpolation times,multicarrier component,weighted-type fractional fourier transform (wfrft),transmitters,baseband
Convergence (routing),Mathematical optimization,Baseband,Power ratio,Computer science,Interpolation,Fourier transform,Fractional Fourier transform,Computation
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Xiaolu Wang174.22
Lin Mei218416.16
Naitong Zhang334145.04
Wenshu Xie400.34