Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers

The majority of the nonlinearity in a communication system is attributed to the power amplifier (PA) present at the final stage of the transmitter chain. In this paper, we consider Gaussian distributed input signals (such as OFDM), and PAs that can be modeled by memoryless or memory polynomials. We derive closed-form expressions of the PA output power spectral density, for an arbitrary nonlinear order, based on the so-called Leonov-Shiryaev formula. We then apply these results to answer practical questions such as the contribution of AM/PM conversion to spectral regrowth and the relationship between memory effects and spectral asymmetry.

[1]  S. Kusunoki,et al.  Power amplifier module with digital adaptive predistortion for cellular phone , 2002, 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278).

[2]  Irving S. Reed,et al.  On a moment theorem for complex Gaussian processes , 1962, IRE Trans. Inf. Theory.

[3]  V. Aparin,et al.  Analysis of CDMA signal spectral regrowth and waveform quality , 2001, 2001 IEEE MTT-S International Microwave Sympsoium Digest (Cat. No.01CH37157).

[4]  C. Weitzel,et al.  RF power amplifiers for wireless communications , 2002, 24th Annual Technical Digest Gallium Arsenide Integrated Circuit (GaAs IC) Symposiu.

[5]  Jungsang Kim,et al.  Digital predistortion of wideband signals based on power amplifier model with memory , 2001 .

[6]  V. J. Mathews,et al.  Polynomial Signal Processing , 2000 .

[7]  Stephen A. Maas,et al.  Nonlinear microwave circuits , 1988 .

[8]  Timo Rahkonen,et al.  Measurement technique for characterizing memory effects in RF power amplifiers , 2001 .

[9]  James K. Cavers,et al.  Simulation and analysis of an adaptive predistorter utilizing a complex spectral convolution , 1992 .

[10]  William A. Gardner,et al.  The cumulant theory of cyclostationary time-series. II. Development and applications , 1994, IEEE Trans. Signal Process..

[11]  Peter B. Kenington,et al.  High-Linearity RF Amplifier Design , 2000 .

[12]  Sergio Benedetto,et al.  Principles of Digital Transmission: With Wireless Applications , 1999 .

[13]  D. Brillinger Time series - data analysis and theory , 1981, Classics in applied mathematics.

[14]  Natalia Y. Ermolova Spectral analysis of nonlinear amplifier based on the complex gain Taylor series expansion , 2001, IEEE Communications Letters.

[15]  Michael B. Steer,et al.  Characterization of spectral regrowth in microwave amplifiers based on the nonlinear transformation of a complex Gaussian process , 1999 .

[16]  A. Izenman Introduction to Random Processes, With Applications to Signals and Systems , 1987 .

[17]  W. Bosch,et al.  Measurement and simulation of memory effects in predistortion linearizers , 1989 .

[18]  Philippe Loubaton,et al.  Asymptotic analysis of blind cyclic correlation based symbol rate estimation , 2000, 2000 10th European Signal Processing Conference.

[19]  J. Stevenson Kenney,et al.  Predicting spectral regrowth of nonlinear power amplifiers , 2002, IEEE Trans. Commun..

[20]  Dennis R. Morgan,et al.  A robust digital baseband predistorter constructed using memory polynomials , 2004, IEEE Transactions on Communications.

[21]  Nelson M. Blachman,et al.  The output signals and noise from a nonlinearity with amplitude-dependent phase shift , 1979, IEEE Trans. Inf. Theory.

[22]  K. Gard,et al.  Generalized autocorrelation analysis of spectral regrowth from bandpass nonlinear circuits , 2001, 2001 IEEE MTT-S International Microwave Sympsoium Digest (Cat. No.01CH37157).