Robust predistortion proposal for power amplifier linearization
Wenbin Gong
Abstract
Wenbin Gong
Abstract
To linearize power amplifiers and improve efficiency,this paper found a robust predistortion proposal that could be used to several types of PAs.Using the indirect predistortion structure,it does not need to consider the PA's identification.Taking the memory polynomial model as predistorter,it could linearize more than one certain PA.And the improved Newton's method has less computation of polynomial coefficients.Some simulations were proceeded using 64-QAM signals and studies were done on the changes of power spectral density(PSD for short) and adjacent channel ratio(ACPR for short) before and after predistortion.The results show that this proposal can get good performances,proving its robust as well.
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To linearize power amplifiers and improve efficiency,this paper found a robust predistortion proposal that could be used to several types of PAs.Using the indirect predistortion structure,it does not need to consider the PA's identification.Taking the memory polynomial model as predistorter,it could linearize more than one certain PA.And the improved Newton's method has less computation of polynomial coefficients.Some simulations were proceeded using 64-QAM signals and studies were done on the changes of power spectral density(PSD for short) and adjacent channel ratio(ACPR for short) before and after predistortion.The results show that this proposal can get good performances,proving its robust as well.
Key concepts: Predistortion, Adjacent channel power ratio, Amplifier, Linearization, Computer science, Polynomial, Adjacent channel, Power (physics)