The use of “even” order polynomial terms in radio frequency power amplifier behavioral modeling and digital pre-distortion linearization has long been discussed. This contribution mathematically shows that the purely odd polynomials and the odd-even polynomials are equivalent up to the truncation error inherent in the model itself. The choice of odd or odd-even polynomial is equivalent to a choice of basis functions wherein the odd-even representation does not provide a richer set of basis functions, as earlier has been claimed. Modeling using measured data from a power amplifier shows that the difference in performance between the odd and odd-even polynomials is negligible for models at high nonlinear order. These findings are important to explain the appearance and use of the odd and odd-even models in power amplifier modeling and digital pre-distortion.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    RF PA modeling considering odd-even and odd order polynomials


    Contributors:


    Publication date :

    2015-11-01


    Size :

    280925 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Farrow Structure Interpolators Based on Even Order Shaped Lagrange Polynomials

    ghadam, A. S. h. / Renfors, M. / IEEE | British Library Conference Proceedings | 2003



    RCS Statistical Modeling of Stealth Targets Based on Fractional-Order Legendre Polynomials

    Wang, Jianbo / Ye, Jianyu / Wu, Xiaoliang et al. | IEEE | 2023



    Adaptive order explicit polynomials for road edge tracking

    Katsande, P. / Liatsis, P. | Tema Archive | 2001