Radio Frequency Power Amplifiers: Behavioral Modeling, Parameter-Reduction, and Digital Predistortion
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[1] F. Raab,et al. Power amplifiers and transmitters for RF and microwave , 2002 .
[2] A. Zhu,et al. Dynamic Deviation Reduction-Based Volterra Behavioral Modeling of RF Power Amplifiers , 2006, IEEE Transactions on Microwave Theory and Techniques.
[3] Peter Händel,et al. High Dynamic Range Test-Bed for Characterization of Analog-To-Digital Converters Up To 500 MSPS , 2005 .
[4] Olof Bengtsson,et al. Integration and Analysis of RF-Power LDMOS Transistors , 2006 .
[5] D.E. Root,et al. A behavioral modeling approach to nonlinear model-order reduction for RF/microwave ICs and systems , 2004, IEEE Transactions on Microwave Theory and Techniques.
[6] Vito Volterra,et al. Lecons sur les fonctions de lignes , 1913 .
[7] D. Wisell,et al. Nonlinear behavioral modeling of power amplifiers using radial-basis function neural networks , 2005, IEEE MTT-S International Microwave Symposium Digest, 2005..
[8] A. A. Moulthrop,et al. Optimal-filter approach for nonlinear power amplifier modeling and equalization , 2000, 2000 IEEE MTT-S International Microwave Symposium Digest (Cat. No.00CH37017).
[9] Yves Rolain,et al. Fast approximate identification of nonlinear systems , 2003, Autom..
[10] Karl Johan Åström,et al. Numerical Identification of Linear Dynamic Systems from Normal Operating Records , 1965 .
[11] Julius S. Bendat,et al. Nonlinear System Techniques And Applications , 1990 .
[12] D. Rönnow,et al. Measurement; analysis; modelling; and digital predistortion of RF/microwave power amplifiers , 2003 .
[13] L. Franca-Neto,et al. RF System and Circuit Challenges for WiMAX , 2004 .
[14] F. J. Gonzalez-Serrano,et al. Reduced-complexity equaliser for nonlinear channels , 1998 .
[15] A. A. Moulthrop,et al. Power-amplifier characterization using a two-tone measurement technique , 2002 .
[16] Ignacio Santamaría,et al. Modeling Nonlinear Power Amplifiers in OFDM Systems from Subsampled Data: A Comparative Study Using Real Measurements , 2003, EURASIP J. Adv. Signal Process..
[17] M.C.E. Yagoub,et al. Neural based dynamic modeling of nonlinear microwave circuits , 2002, 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278).
[18] Fadhel M. Ghannouchi,et al. Realistic power-amplifiers characterization with application to baseband digital predistortion for 3G base stations , 2002 .
[19] Adel A. M. Saleh,et al. Frequency-Independent and Frequency-Dependent Nonlinear Models of TWT Amplifiers , 1981, IEEE Trans. Commun..
[20] Mohamed A. Y. Abdulla,et al. Distortion Analysis in Analog Integrated Circuits , 2002 .
[21] Narasimhan Sundararajan,et al. Communication channel equalization using complex-valued minimal radial basis function neural networks , 2002, IEEE Trans. Neural Networks.
[22] Qi-Jun Zhang,et al. Neural Networks for RF and Microwave Design , 2000 .
[23] Magnus Isaksson,et al. Validation of Behavioural Power Amplifier Models Using Coherent Averaging , 2005 .
[24] Stephen A. Maas,et al. Nonlinear Microwave and RF Circuits , 2003 .
[25] C. J. Clark,et al. Time-domain envelope measurement technique with application to wideband power amplifier modeling , 1998 .
[26] Muhammad Taher Abuelma'atti,et al. Frequency-Dependent Nonlinear Quadrature Model for TWT Amplifiers , 1984, IEEE Trans. Commun..
[27] L. Chua,et al. Measuring Volterra kernels (II) , 1989 .
[28] H. B. Poza,et al. A wideband data link computer simulation model , 1978 .
[29] D. Signorini,et al. Neural networks , 1995, The Lancet.
[30] David Wisell,et al. Nonlinear Characterization of Multiple Carrier Power Amplifiers , 2000, 56th ARFTG Conference Digest.
[31] T.J. Brazil,et al. RF power amplifier behavioral modeling using Volterra expansion with Laguerre functions , 2005, IEEE MTT-S International Microwave Symposium Digest, 2005..
[32] Ignacio Santamaría,et al. Nonlinearity estimation in power amplifiers based on subsampled temporal data , 2001, IEEE Trans. Instrum. Meas..
[33] K. Lever,et al. Computational complexity of Volterra based nonlinear compensators , 1996 .
[34] V. J. Mathews,et al. Polynomial Signal Processing , 2000 .
[35] J.P. Martins,et al. A Metric for the Quantification of Memory Effects in Power Amplifiers , 2006, IEEE Transactions on Microwave Theory and Techniques.
[36] Juebang Yu,et al. Using recurrent neural network for adaptive predistortion linearization of RF amplifiers , 2002 .
[37] J. S. Kenney,et al. Behavioral modeling of nonlinear RF power amplifiers considering memory effects , 2003 .
[38] O. Shimbo. Effects of intermodulation, AM-PM conversion, and additive noise in multicarrier TWT systems , 1971 .
[39] T.J. Brazil,et al. Behavioral modeling of RF power amplifiers based on pruned volterra series , 2004, IEEE Microwave and Wireless Components Letters.
[40] J. S. Kenney,et al. Quantifying memory effects in RF power amplifiers , 2002 .
[41] M Maarten Steinbuch,et al. Spectral Analysis of Block Structured Nonlinear Systems , 2011 .
[42] Jungsang Kim,et al. Digital predistortion of wideband signals based on power amplifier model with memory , 2001 .
[43] R. de Figueiredo. The Volterra and Wiener theories of nonlinear systems , 1982, Proceedings of the IEEE.
[44] C.P. Silva,et al. Application of polyspectral techniques to nonlinear modeling and compensation , 2001, 2001 IEEE MTT-S International Microwave Sympsoium Digest (Cat. No.01CH37157).
[45] D. Wisell,et al. A Bandwidth Extension Technique for Dynamic Characterization of Power Amplifiers , 2006, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings.
[46] Norman R. Draper,et al. Applied regression analysis (2. ed.) , 1981, Wiley series in probability and mathematical statistics.
[47] Y. H. Ku,et al. Book reviewThe Volterra & Wiener theories of nonlinear systems : Martin Schetzen. 531 pages, diagrams, illustr., John Wiley, New York, 1980. Price, $32.50. , 1982 .
[48] J. C. P. Jones. Simplified computation of the Volterra frequency response functions of non-linear systems , 2007 .
[49] Timo Rahkonen,et al. Distortion in RF power amplifiers , 2003 .
[50] C.P. Silva,et al. Validation of power amplifier nonlinear block models , 1999, 1999 IEEE MTT-S International Microwave Symposium Digest (Cat. No.99CH36282).
[51] F.M. Ghannouchi,et al. Dynamic behavioral modeling of 3G power amplifiers using real-valued time-delay neural networks , 2004, IEEE Transactions on Microwave Theory and Techniques.
[52] B. Ninness,et al. A unifying construction of orthonormal bases for system identification , 1997, IEEE Trans. Autom. Control..
[53] T. Rahkonen,et al. Extraction of a nonlinear AC FET model using small-signal S-parameters , 2002 .
[54] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[55] Jacques Sombrin,et al. Neural network modeling and identification of nonlinear channels with memory: algorithms, applications, and analytic models , 1998, IEEE Trans. Signal Process..
[56] H. Akaike. Fitting autoregressive models for prediction , 1969 .
[57] J.C. Pedro,et al. A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches , 2005, IEEE Transactions on Microwave Theory and Techniques.
[58] D. Wisell,et al. Wideband characterization of a Doherty amplifier using behavioral modeling , 2006, 2006 67th ARFTG Conference.
[59] W. Bosch,et al. Measurement and simulation of memory effects in predistortion linearizers , 1989 .
[60] Ronald D. Snee,et al. Validation of Regression Models: Methods and Examples , 1977 .
[61] S. Billings,et al. Spectral analysis of block structured non-linear systems , 1990 .
[62] Magnus Isaksson,et al. Behavioural Modelling of Radio Frequency Power Amplifiers : An Evaluation of Some Block Structure and Neural Network Models , 2005 .
[63] Peter Gardner,et al. Neuro-fuzzy approach to adaptive digital predistortion , 2004 .
[64] Mohamed Ibnkahla,et al. Applications of neural networks to digital communications - a survey , 2000, Signal Process..
[65] Truong Q. Nguyen,et al. Design of hybrid filter banks for analog/digital conversion , 1998, IEEE Trans. Signal Process..
[66] Peter B. Kenington,et al. High-Linearity RF Amplifier Design , 2000 .
[67] Richard F. Gunst,et al. Applied Regression Analysis , 1999, Technometrics.
[68] David Wisell,et al. A baseband time domain measurement system for dynamic characterization of power amplifiers with high dynamic range over large bandwidths , 2003, Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412).
[69] Jose C. Pedro,et al. A comprehensive explanation of distortion sideband asymmetries , 2002 .
[70] Y. Rolain,et al. Broadband measurement and identification of a Wiener-Hammerstein model for an RF amplifier , 2002, 60th ARFTG Conference Digest, Fall 2002..
[71] David Wise. A Baseband Time Domain Measurement System for Dynamic Characterisation of Power Amplifiers with High Dynamic Range over Large Bandwidths , 2003 .
[72] D. Wisell,et al. Extension of the hammerstein model for power amplifier applications , 2004, ARFTG 63rd Conference, Spring 2004.
[73] Steve C. Cripps,et al. Advanced Techniques in RF Power Amplifier Design , 2002 .
[74] Rifat Hacioglu,et al. Reduced Complexity Volterra Models for Nonlinear System Identification , 2001, EURASIP J. Adv. Signal Process..
[75] Fang Wang,et al. A new macromodeling approach for nonlinear microwave circuits based on recurrent neural networks , 2000, IMS 2000.
[76] X. T. Vuong,et al. Modelling of nonlinear elements exhibiting frequency-dependent AM/AM and AM/PM transfer characteristics , 1984, Canadian Electrical Engineering Journal.
[77] M. Isaksson,et al. A Kautz-Volterra Behavioral Model for RF Power Amplifiers , 2006, 2006 IEEE MTT-S International Microwave Symposium Digest.