In this paper, a novel real-time closed-loop device linearization technique has presented. In this paper the focus application is on AM/AM and AM/PM linearization of power amplifiers (PA) and/or radio transmitters. In such an application, the novel approach performs on-the-fly measurement-and-prediction of the nonlinear characteristics of the PA, stores such non-linear characteristics and calculates their inverse functions in order to pre-distort the base-band amplitude and phase signals modulating the PA such that the combination, or the resultant, of the pre-distorter and the PA leads to a linear behavior at the output of the PA. The predictive nature of the presented approach overcomes the inevitable delay between the time a measurement is collected through the feedback loop and the time it has taken place at the output of the forward loop, which is a must-have delay encountered in any natural causal system. Such a delay results in imperfect on-the-fly pre-distortion of the output signal due to the mismatch between the applied pre-distortion, which has been based on a past measurement, and the actual effect of the non-linearity at the time the signal is produced [5]. In addition, this novel approach promises the advantage of operating a highly non-linear (compressed) PA - hence, highly efficient - with minimal factory pre-calibration. We present a model of our predictor based approach and evaluate its performance for a GSM/EDGE/UMTS a cellular transmitter scenario, where the performance requirements on the transmitted signal are stringent and distortion due to non-linearity must be minimized. The key performance metrics we evaluate have mostly been based on the GSM/EDGE/UMTS requirements, such as the Error Vector Magnitude (EVM), Switching Transients (ST), and Adjacent Channel Power Ratio (ACPR), transmit time mask, modulation spectrum and power-added efficiency (PAE). Although the focus of the numerical results in this paper is on the GSM/EDGE/UMTS application, the novel approach discussed is applicable to any TDMA or TDD system where switching transients and spectral performance is tightly controlled.
Published in | Science Journal of Circuits, Systems and Signal Processing (Volume 3, Issue 3) |
DOI | 10.11648/j.cssp.20140303.11 |
Page(s) | 14-25 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Power Amplifier, Non-Linearity, Pre-Distortion, Real-Time Calibration, Real-Time Prediction
[1] | Walid K. M. Ahmed and Qing Li, “Method and Apparatus for a Nonlinear Feedback Control System”. U.S. Patent# 7,889,810. |
[2] | 3GPP TS 45.005 V7.8.0. Digital Cellular Telecommunications Systems; Radio transmission and reception (Release 2006-11). |
[3] | 3GPP TS 51.021 V7.1.0. Base Station System (BSS) equipment specification; Radio aspects (Release 2005-11). |
[4] | Walid Ahmed, “Methods and Apparatus for Signal Power Ramp-up in a Communication System”, U.S. Patent Application No. 11/385212. |
[5] | M. Nezami, “Fundamentals of Power Amplifier Linearization Using Digital Pre-Distortion”, High Frequency Electronics, September 2004, pp. 54-59. |
[6] | W. Ahmed and D. Douglas, “Multi-mode selectable modulation architecture calibration and power control apparatus, system, and method for radio frequency power amplifier”. U.S. Patent# 7,599,448. |
[7] | SCHETZEN M.: ‘The Volterra and Wiener theories of nonlinear systems’ (Krieger Publishing Co., 2006). |
[8] | P. Nagle, R. Husseini, A. Grebennikov, W. K. M. Ahmed and F. McGrath, “A novel wideband digital power amplifier and transmitter architecture for multimode handsets”, In Proc. Of the 2004 IEEE Radio and Wireless Conference, pp. 171 - 174. |
[9] | Walid K. M. Ahmed, “Quantization Noise Suppression in Digitally Segmented Amplifiers”, IEEE Transactions on Circuits and Systems I: Regular Papers, Volume 56, Issue 3, March 2009, pp. 529 - 540. |
[10] | P. L. Gilabert, A. Cesari, G. Montoro, E. Bertran, and J.-M. Dilhac, “Multi-lookup table FPGA implementation of an adaptive digital predistorter for linearizing RF power amplifiers with memory effects,” IEEE Trans. Microw. Theory Tech., vol. 56, no. 2, pp. 372–384, Feb. 2008. |
[11] | A. Zhu, P. J. Draxler, J. J. Yan, T. J. Brazil, D. F. Kimball, P. M. Asbeck, “ Open-Loop Digital Predistorter for RF Power Amplifiers Using Dynamic Deviation Reduction-Based Volterra Series,” IEEE Trans. Microw. Theory Tech., vol. 56, no. 7, pp. 1524-1534, July 2008. |
[12] | S.Saied-Bouajina, O. Hammi, M.Jaidane-Saidane and F.M. Ghannouchi, “Experimental approach for robust identification of radiofrequency power amplifier amplifier behavior models using polynomial structures”, IET Microwave Antennas Propogation, 2010, vol. 4, issue 11, pp. 1818-1828. |
[13] | Ding L., Zhou G.T., Morgan D.R., et al. ‘A robust digital baseband predistorter constructed using memory polynomials’, IEEE Trans. Commun., 2004, 52, (1), pp. 159–165. |
[14] | Kim J., Konstantinou K.: ‘Digital predistortion of wideband signals based on power amplifier model with memory’, Electron. Lett., 2001, 37, (23), pp. 1417–1418. |
[15] | Jeckeln E.G., Beauregard F., Sawan M.A., Ghannouchi F.M.‘Adaptive baseband/RF predistorter for power amplifiers through instantaneous AM-AM and AM-PM characterization using digital receivers’. Dieg. 2000 IEEE MTT-S Int. Microwave Symp., Boston, MA, USA, June 2000, pp. 489–492. |
APA Style
Walid Ahmed, Ajit Reddy. (2014). Novel Real-Time Closed-Loop Device Linearization via Predictive Pre-Distortion. Science Journal of Circuits, Systems and Signal Processing, 3(3), 14-25. https://doi.org/10.11648/j.cssp.20140303.11
ACS Style
Walid Ahmed; Ajit Reddy. Novel Real-Time Closed-Loop Device Linearization via Predictive Pre-Distortion. Sci. J. Circuits Syst. Signal Process. 2014, 3(3), 14-25. doi: 10.11648/j.cssp.20140303.11
AMA Style
Walid Ahmed, Ajit Reddy. Novel Real-Time Closed-Loop Device Linearization via Predictive Pre-Distortion. Sci J Circuits Syst Signal Process. 2014;3(3):14-25. doi: 10.11648/j.cssp.20140303.11
@article{10.11648/j.cssp.20140303.11, author = {Walid Ahmed and Ajit Reddy}, title = {Novel Real-Time Closed-Loop Device Linearization via Predictive Pre-Distortion}, journal = {Science Journal of Circuits, Systems and Signal Processing}, volume = {3}, number = {3}, pages = {14-25}, doi = {10.11648/j.cssp.20140303.11}, url = {https://doi.org/10.11648/j.cssp.20140303.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20140303.11}, abstract = {In this paper, a novel real-time closed-loop device linearization technique has presented. In this paper the focus application is on AM/AM and AM/PM linearization of power amplifiers (PA) and/or radio transmitters. In such an application, the novel approach performs on-the-fly measurement-and-prediction of the nonlinear characteristics of the PA, stores such non-linear characteristics and calculates their inverse functions in order to pre-distort the base-band amplitude and phase signals modulating the PA such that the combination, or the resultant, of the pre-distorter and the PA leads to a linear behavior at the output of the PA. The predictive nature of the presented approach overcomes the inevitable delay between the time a measurement is collected through the feedback loop and the time it has taken place at the output of the forward loop, which is a must-have delay encountered in any natural causal system. Such a delay results in imperfect on-the-fly pre-distortion of the output signal due to the mismatch between the applied pre-distortion, which has been based on a past measurement, and the actual effect of the non-linearity at the time the signal is produced [5]. In addition, this novel approach promises the advantage of operating a highly non-linear (compressed) PA - hence, highly efficient - with minimal factory pre-calibration. We present a model of our predictor based approach and evaluate its performance for a GSM/EDGE/UMTS a cellular transmitter scenario, where the performance requirements on the transmitted signal are stringent and distortion due to non-linearity must be minimized. The key performance metrics we evaluate have mostly been based on the GSM/EDGE/UMTS requirements, such as the Error Vector Magnitude (EVM), Switching Transients (ST), and Adjacent Channel Power Ratio (ACPR), transmit time mask, modulation spectrum and power-added efficiency (PAE). Although the focus of the numerical results in this paper is on the GSM/EDGE/UMTS application, the novel approach discussed is applicable to any TDMA or TDD system where switching transients and spectral performance is tightly controlled.}, year = {2014} }
TY - JOUR T1 - Novel Real-Time Closed-Loop Device Linearization via Predictive Pre-Distortion AU - Walid Ahmed AU - Ajit Reddy Y1 - 2014/10/30 PY - 2014 N1 - https://doi.org/10.11648/j.cssp.20140303.11 DO - 10.11648/j.cssp.20140303.11 T2 - Science Journal of Circuits, Systems and Signal Processing JF - Science Journal of Circuits, Systems and Signal Processing JO - Science Journal of Circuits, Systems and Signal Processing SP - 14 EP - 25 PB - Science Publishing Group SN - 2326-9073 UR - https://doi.org/10.11648/j.cssp.20140303.11 AB - In this paper, a novel real-time closed-loop device linearization technique has presented. In this paper the focus application is on AM/AM and AM/PM linearization of power amplifiers (PA) and/or radio transmitters. In such an application, the novel approach performs on-the-fly measurement-and-prediction of the nonlinear characteristics of the PA, stores such non-linear characteristics and calculates their inverse functions in order to pre-distort the base-band amplitude and phase signals modulating the PA such that the combination, or the resultant, of the pre-distorter and the PA leads to a linear behavior at the output of the PA. The predictive nature of the presented approach overcomes the inevitable delay between the time a measurement is collected through the feedback loop and the time it has taken place at the output of the forward loop, which is a must-have delay encountered in any natural causal system. Such a delay results in imperfect on-the-fly pre-distortion of the output signal due to the mismatch between the applied pre-distortion, which has been based on a past measurement, and the actual effect of the non-linearity at the time the signal is produced [5]. In addition, this novel approach promises the advantage of operating a highly non-linear (compressed) PA - hence, highly efficient - with minimal factory pre-calibration. We present a model of our predictor based approach and evaluate its performance for a GSM/EDGE/UMTS a cellular transmitter scenario, where the performance requirements on the transmitted signal are stringent and distortion due to non-linearity must be minimized. The key performance metrics we evaluate have mostly been based on the GSM/EDGE/UMTS requirements, such as the Error Vector Magnitude (EVM), Switching Transients (ST), and Adjacent Channel Power Ratio (ACPR), transmit time mask, modulation spectrum and power-added efficiency (PAE). Although the focus of the numerical results in this paper is on the GSM/EDGE/UMTS application, the novel approach discussed is applicable to any TDMA or TDD system where switching transients and spectral performance is tightly controlled. VL - 3 IS - 3 ER -