Wideband power amplifier predistortion: Trends, challenges and solutions

This paper focuses on wideband power amplifier predistortion for current and future communications standards such as LTE and 5G. As a matter of fact, the large bandwidth and the large dynamic range of exchanged signals in these standards make the predistortion task very challenging. To overcome these challenges, innovations and improvements are needed in the three main blocks of the predistortion system, i.e., modeling and estimation algorithms, the transmission path and the observation path. In this work, for each of these three blocks, the state of the art is briefly presented and solutions are proposed to contribute in achieving a low power wideband predistortion compatible with the 5G low power transmission cells.

[1]  Patricia Desgreys,et al.  An FIR memory polynomial predistorter for wideband RF power amplifiers , 2017, 2017 15th IEEE International New Circuits and Systems Conference (NEWCAS).

[2]  Jaehyeong Kim,et al.  A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers , 2006, IEEE Transactions on Signal Processing.

[3]  Frederic Roger,et al.  A 200mW 100MHz-to-4GHz 11th-order complex analog memory polynomial predistorter for wireless infrastructure RF amplifiers , 2013, 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers.

[4]  Y. Akaiwa,et al.  Wideband Digital Predistortion Using Spectral Extrapolation of Band-Limited Feedback Signal , 2014, IEEE Transactions on Circuits and Systems I: Regular Papers.

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

[6]  Paulo S. R. Diniz.  The Least-Mean-Square (LMS) Algorithm , 2013 .

[7]  John Wood,et al.  System-Level Design Considerations for Digital Pre-Distortion of Wireless Base Station Transmitters , 2017, IEEE Transactions on Microwave Theory and Techniques.

[8]  Qi Wei,et al.  A 14 Bit 500 MS/s CMOS DAC Using Complementary Switched Current Sources and Time-Relaxed Interleaving DRRZ , 2014, IEEE Transactions on Circuits and Systems I: Regular Papers.

[9]  Raviv Raich,et al.  Orthogonal polynomials for power amplifier modeling and predistorter design , 2004, IEEE Transactions on Vehicular Technology.

[10]  Patricia Desgreys,et al.  High-level design of general multi-stage noise band cancellation $$\Upsigma\Updelta$$ΣΔ ADC optimized for nonlinearly distorted signals , 2013 .

[11]  Slim Boumaiza,et al.  Digitally Assisted Analog/RF Predistorter With a Small-Signal-Assisted Parameter Identification Algorithm , 2015, IEEE Transactions on Microwave Theory and Techniques.

[12]  P. Singerl,et al.  A low-rate identification method for digital predistorters based on Volterra kernel interpolation , 2005, 48th Midwest Symposium on Circuits and Systems, 2005..

[13]  Lei Guan,et al.  Green Communications: Digital Predistortion for Wideband RF Power Amplifiers , 2014, IEEE Microwave Magazine.

[14]  F.M. Ghannouchi,et al.  A Compact Envelope-Memory Polynomial for RF Transmitters Modeling With Application to Baseband and RF-Digital Predistortion , 2008, IEEE Microwave and Wireless Components Letters.

[15]  Lei Guan,et al.  Band-Limited Volterra Series-Based Digital Predistortion for Wideband RF Power Amplifiers , 2012, IEEE Transactions on Microwave Theory and Techniques.

[16]  Patricia Desgreys,et al.  A multi-channel ΣΔ modulator for subband digital predistortion with LTE signals , 2016, 2016 14th IEEE International New Circuits and Systems Conference (NEWCAS).

[17]  V. J. Mathews,et al.  QR-decomposition based algorithms for adaptive Volterra filtering , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.