A low-rate identification method for digital predistorters based on Volterra kernel interpolation

A novel identification and digital predistortion scheme of weakly nonlinear passband systems such as RF power amplifiers (PA) is presented. It is well known that for the identification of weakly nonlinear systems, despite the spectral regrowth, it suffices to sample the input-output (I/O) data of th...

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Vydáno v:Analog integrated circuits and signal processing Ročník 56; číslo 1-2; s. 107 - 115
Hlavní autoři: Singerl, Peter, Koeppl, Heinz
Médium: Journal Article
Jazyk:angličtina
Vydáno: Boston Springer US 01.08.2008
Témata:
Channels
Circuits and Systems
Computer simulation
Demand
Digital
Dynamical systems
Electrical Engineering
Engineering
Mathematical models
Nonlinear dynamics
Sampling
Signal,Image and Speech Processing
Digital predistortion
Volterra kernel interpolation
Nonlinear system identification
ISSN:0925-1030, 1573-1979
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Shrnutí:A novel identification and digital predistortion scheme of weakly nonlinear passband systems such as RF power amplifiers (PA) is presented. It is well known that for the identification of weakly nonlinear systems, despite the spectral regrowth, it suffices to sample the input-output (I/O) data of the system at the Nyquist rate of the input signal. Many applications such as linearization (digital predistortion) and mixed signal simulations require system models at a higher sampling rate than Nyquist. Up to now the construction of such high-rate predistorters has been done by oversampling the corresponding I/O data. This leads to high computational complexity, ill-posedness of the estimation, and high demand on the analog-to-digital converter (ADC) sampling rate for the implementation. This paper discusses an efficient way to obtain high-rate predistorters from low-rate system models and shows the validity of the proposed scheme for a 5th-order complex baseband PA model, where adjacent channel power suppression of 20 dB is achieved.
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ISSN:0925-1030
1573-1979
DOI:10.1007/s10470-007-9074-4