DocumentCode :
1567793
Title :
Mathematical model for amplitude distortion in nonlinear HPA
Author :
Cui, Hua
Author_Institution :
Sch. of Inf. Eng., Chang´´an Univ., Xi´´an, China
fYear :
2009
Firstpage :
20090
Lastpage :
21186
Abstract :
A piecewise mathematical expression with one parameter was proposed for the amplitude (AM) distortion in nonlinear high power amplifiers (HPA). Its performance was assessed by the predistortion effects in terms of NMSE, RMSE and ACEPR yielded by its inverse function, namely AM predistorter (PD) in HPA digital predistortion (DPD). The use of this PD allows the HPA DPD to be implemented by only taking into consideration the compensation for the distortion signals, while the ones in the linear region of HPA don´t need to process, thus greatly reducing the required memory storage capacity for the AM LUT. Moreover, the PD makes it feasible to implement HPA DPD by manually adjusting the parameter values, therefore the complexity can be avoided due to a feedback loop and the iterative predistortion algorithm. Simulation results show the PD can admirably balance between predistortion accuracy and implementation complexity. Accordingly, it is testified that the proposed AM model provides a good tradeoff between the precision and complexity in approximating the AM nonlinearity in TWTA driven by OFDM signals.
Keywords :
power amplifiers; signal processing; OFDM signal; amplitude distortion; digital predistortion; distortion signal; feedback loop; iterative predistortion algorithm; mathematical model; memory storage capacity; nonlinear high power amplifier; piecewise mathematical expression; Feedback loop; High power amplifiers; Iterative algorithms; Mathematical model; Nonlinear distortion; OFDM; Predistortion; Signal processing; Table lookup; Testing; Amplitude distortion model; HPA; predistorter; predistortion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274807
Filename :
5274807
Link To Document :
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