DocumentCode
3607085
Title
Volterra Models for Digital PWM and Their Inverses
Author
Chierchie, Fernando ; Aase, Sven Ole
Author_Institution
Depto. de Ing. Electr. y de Computadoras, Univ. Nac. del Sur, Bahia Blanca, Argentina
Volume
62
Issue
10
fYear
2015
Firstpage
2606
Lastpage
2616
Abstract
In an all-digital class-D audio amplifier each signal sample is mapped into a pulse using digital pulse-width-modulation (PWM), and this intrinsically generates nonlinear distortion. This article develops discrete-time Volterra models for digital PWM. The analysis considers two types of demodulation filter, an ideal filter which provides insight into the behavior of the PWM itself, and an analog low-order demodulator filter which models the interaction of the PWM mapping with a real demodulator filter. Symmetric, trailing edge, and leading edge PWM are considered. Using the Volterra models, formulae for the inverse systems are developed. This facilitates digital precompensation of the above mentioned distortion by digitally pre-filtering the modulating signal prior to the PWM mapping. This method is first simulated and compared to pseudo-natural PWM, a well-known method for PWM distortion reduction. Moreover, the method is verified by real measurements from a physical realization of the prefilter setup using real-time digital signal processing.
Keywords
audio-frequency amplifiers; demodulators; nonlinear distortion; nonlinear filters; pulse width modulation; all-digital class-D audio amplifier; analog low-order demodulator filter; demodulation filter; digital precompensation; digital pulse-width-modulation; discrete-time Volterra models; ideal filter; inverse systems; nonlinear distortion; real-time digital signal processing; Convolution; Demodulation; Kernel; Nonlinear distortion; Pulse width modulation; Nonlinear distortion; power amplifiers; pulse- width modulation;
fLanguage
English
Journal_Title
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher
ieee
ISSN
1549-8328
Type
jour
DOI
10.1109/TCSI.2015.2476299
Filename
7277163
Link To Document