Academic literature on the topic 'Digital predistortion'
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Journal articles on the topic "Digital predistortion"
Zhang, Rui, and Zhi Bin Zeng. "Undersampling Digital Predistortion Compensation Technology Based on Broadband Signals." Applied Mechanics and Materials 543-547 (March 2014): 2381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2381.
Full textKim, W. J., K. J. Cho, S. P. Stapleton, and J. H. Kim. "Baseband derived RF digital predistortion." Electronics Letters 42, no. 8 (2006): 468. http://dx.doi.org/10.1049/el:20060606.
Full textMelczarsky, Ilan, Pere L. Gilabert, Valeria Di Giacomo, Eduard Bertran, and Fabio Filicori. "Behavioral modeling and linearization of a millimeter-wave power amplifier." International Journal of Microwave and Wireless Technologies 1, no. 2 (April 2009): 127–36. http://dx.doi.org/10.1017/s1759078709000075.
Full textPetushkov, S. V. "ADAPTIVE PREDISTORTION DEVICE OF THE SATELLITE TRANSMITTERS." H&ES Research 12, no. 6 (2020): 11–17. http://dx.doi.org/10.36724/2409-5419-2020-12-6-11-17.
Full textBrihuega, Alberto, Lauri Anttila, and Mikko Valkama. "Frequency-Domain Digital Predistortion for OFDM." IEEE Microwave and Wireless Components Letters 31, no. 6 (June 2021): 816–18. http://dx.doi.org/10.1109/lmwc.2021.3062982.
Full textJeong, Eui-Rim. "Digital Predistortion Technique for MIMO Transmitters." Journal of Korea Information and Communications Society 37C, no. 12 (December 28, 2012): 1289–95. http://dx.doi.org/10.7840/kics.2012.37c.12.1289.
Full textYu, Xin, and Hong Jiang. "Digital Predistortion Using Adaptive Basis Functions." IEEE Transactions on Circuits and Systems I: Regular Papers 60, no. 12 (December 2013): 3317–27. http://dx.doi.org/10.1109/tcsi.2013.2265958.
Full textWan-Jong Kim, S. P. Stapleton, Jong Heon Kim, and C. Edelman. "Digital predistortion linearizes wireless power amplifiers." IEEE Microwave Magazine 6, no. 3 (September 2005): 54–61. http://dx.doi.org/10.1109/mmw.2005.1511914.
Full textGonzalez-Serrano, F. J., J. J. Murillo-Fuentes, and A. Artes-Rodriguez. "GCMAC-based predistortion for digital modulations." IEEE Transactions on Communications 49, no. 9 (2001): 1679–89. http://dx.doi.org/10.1109/26.950354.
Full textAbdelaziz, Mahmoud, Lauri Anttila, Alberto Brihuega, Fredrik Tufvesson, and Mikko Valkama. "Digital Predistortion for Hybrid MIMO Transmitters." IEEE Journal of Selected Topics in Signal Processing 12, no. 3 (June 2018): 445–54. http://dx.doi.org/10.1109/jstsp.2018.2824981.
Full textDissertations / Theses on the topic "Digital predistortion"
Tallmarken, Manne. "Digital Predistortion for Broadcast FM repeaters." Thesis, KTH, Signalbehandling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53778.
Full textWaegemans, R. "Digital electronic predistortion for optical communications." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/20007/.
Full textKarlsson, Robert. "Digital predistortion of semi-linear power amplifier." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2617.
Full textIn this thesis, a new way of using predisortion for linearization of power amplifiers is evaluated. In order to achieve an adequate power level for the jamming signal, power amplifiers are used in military jamming systems. Due to the nonlinear characteristic of the power amplifier, distortion will be present at the output. As a consequence, unwanted frequencies are subject to jamming. To decrease the distortion, linearization of the power amplifier is necessary.
In the system of interest, a portion of the distorted power amplifier output signal is fed back. Using this measurement, a predistortion signal is synthesized to allow suppression of the unwanted frequency components. The predistortion signal is updated a number of times in order to achieve a good outcome. Simulations are carried out in Matlab for testing of the algorithm.
The evaluation of the new linearization technique shows promising results and that good suppression of distortion components is achieved. Furthermore, new predistortion features are possible to implement, such as predistorsion in selected frequency bands. However, real hardware testing needs to be carried out to confirm the results.
Ba, Seydou Nourou. "Efficient digital baseband predistortion for modern wireless handsets." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31760.
Full textCommittee Chair: Altunbasak, Yucel; Committee Co-Chair: Zhou, G. Tong; Committee Member: Al-Regib, Ghassan; Committee Member: Kenney, James Stevenson; Committee Member: Ma, Xiaoli; Committee Member: Pan, Ronghua. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Johnson, Daniel Eric. "Adaptive Digital Predistortion with Applications for LMDS Systems." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/34964.
Full textA background on LMDS link design, non-linear amplification, and predistortion is presented to assist the reader. A developed simulation uses AM-AM and AM-PM characteristics obtained from laboratory measurements of a 28 GHz amplifier to determine the effect of several predistortion implementation options and to confirm the feasibility of the proposed architecture.
The potential impact of this predistortion architecture on LMDS system design is considered. The presented multi-stage predistortion architecture is found to be capable of implementation at Msymbol/second rates utilizing a FPGA or custom IC and a moderate speed digital signal processor.
Master of Science
Ding, Lei. "Digital predistortion of power amplifiers for wireless applications." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-04022004-020955/unrestricted/ding%5Flei%5F200405%5Fphd.pdf.
Full textJ. Stevenson Kenney, Committee Member ; G. Tong Zhou, Committee Chair ; W. Marshall Leach, Committee Member ; Ye (Geoffrey) Li, Committee Member ; Jianmin Qu, Committee Member. Includes bibliographical references (leaves 100-103).
Giesbers, David Mathew. "Adaptive digital polynomial predistortion linearisation for RF power amplifiers." Thesis, University of Canterbury. Electrical and Computer Engineering, 2008. http://hdl.handle.net/10092/2044.
Full textBarradas, Filipe Miguel Esturrenho. "Modeling and digital predistortion of wireless radio frequency transmitters." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/18661.
Full textNos atuais sistemas de telecomunicações, os transmissores de rádio-frequência são desenvolvidos tendo maioritariamente em conta a eficiência da conversão da potência fornecida da fonte em potência de rádio-frequência. Este tipo de desenho resulta em amplificadores de potência com características de transmissão não-lineares, que distorcem severamente o envelope de informação no processo de amplificação, gerando distorção fora da banda. Para corrigir este problema utiliza-se um processo de compensação não linear, sendo que a pré-distorção digital se tem favorecido pela sua flexibilidade e precisão. Este método é tipicamente aplicado de uma forma cega, por força bruta até se obter a compensação desejada. No entanto, quando o método se mostra ineficaz, como se verificou em amplificadores de potência baseados em transístores de nitreto de gálio, é difícil saber o que modificar nos sistemas para os tornar de novo úteis. De forma a compreender e desenhar sistemas de pré-distorção digital robustos é necessário, por um lado, perceber o comportamento dos amplificadores de rádio-frequência, por outro, perceber as limitações e relações entre os modelos digitais e o comportamento real do amplificador. Nesse sentido, esta tese explora e descreve estas relações de forma a suportar a escolha de modelos de pré-distorção, desenvolve novos modelos baseados no comportamento dos transístores, e propõe métodos de caracterização para os amplificadores de RF.
In current telecommunication systems, the main concern when developing the radio frequency transmitter is power efficiency. This type of design generally leads to a highly nonlinear transmission characteristic, mainly due to the radio frequency power amplifier. This nonlinear transmission severely distorts the information envelope, leading to spectral regrowth, out-of-band distortion. To correct this problem a nonlinear compensation process is employed. For this application, digital predistortion is generally favored for its flexibility and accuracy. Digital predistortion is mostly applied in a blind manner, using brute force until the desired compensation is achieved. Because of this, when the method fails, as it has in gallium nitride based power amplifiers, it is difficult to modify the system to achieve the desired results. To understand and design robust predistortion systems, it is both necessary to have knowledge of the power amplifiers’ behavior, on one hand, and understand the limitations and relations between the digital models and these behaviors, on the other. To do this, this thesis explores and describes these relationships, granting support to the digital predistortion model choice, it further develops new predistortion models based on the physics of the transistors’ behaviors, and it proposes methods for the characterization of radio frequency power amplifiers.
Huang, Jeffrey B. "Exploring predistortion training algorithms in a Cartesian feedback-trained digital predistortion system for RF power amplifier linearization." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36799.
Full textIncludes bibliographical references (p. 117-118).
A Cartesian feedback-trained digital predistortion system for RF power amplifier linearization offers many advantages with its combination of two different linearization techniques. This thesis describes such a system, focusing on the important issue of predistorter training. It examines and analyzes in great detail the promising loop filter pre-charging optimization and the tradeoffs associated with such training, developing a model that provides many valuable system design insights. In order establish a means to experimentally verify the theory and explore predistortion training algorithms, this thesis presents the design, development, and characterization of a mock-up prototype that models the essential features of the actual Cartesian feedback-trained digital predistortion system. The mock-up serves as a standalone proof-of-concept system that demonstrates the benefits and tradeoffs of loop filter pre-charging in predistorter training. It confirms the theory while also revealing practical issues pertaining to the limits on performance.
by Jeffrey B. Huang.
M.Eng.
Mengozzi, Mattia. "Direct Learning Power Amplifier Digital Predistortion using Multi-Objective Optimization." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textBooks on the topic "Digital predistortion"
Xu, Xiangqing. A pipelined baseband digital predistortion architecture for RF amplifier linearization. 1995.
Find full textBook chapters on the topic "Digital predistortion"
Li, Lin, Amanullah Ghazi, Jani Boutellier, Lauri Anttila, Mikko Valkama, and Shuvra S. Bhattacharyya. "Evolutionary Multiobjective Optimization for Digital Predistortion Architectures." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 498–510. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40352-6_41.
Full textXie, Dian, and Zhibin Zeng. "A New Adaptive Method for Digital Predistortion Using NLMS and RLS." In Communications in Computer and Information Science, 261–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31965-5_31.
Full textDickshaw, Divya, and P. Shanthi. "Performance Analysis of Digital Predistortion on Orthogonal Frequency Division Multiplexing Systems." In Sustainable Communication Networks and Application, 183–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34515-0_19.
Full textBenosman, Meryem M., Hmaeid Shaiek, Yassin Bendimerad, Rafik Zayani, Daniel Roviras, and Fethi T. Bendimerad. "Low Complexity Neural Network Based Digital Predistortion for Memory Power Amplifiers." In Mobile, Secure, and Programmable Networking, 235–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67550-9_16.
Full textLi, Ke, and Hairan Shi. "A Generalized Sampling Based Method for Digital Predistortion of RF Power Amplifiers." In Lecture Notes in Electrical Engineering, 953–59. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_111.
Full textZeng, Zhibin, and Dian Xie. "A New Adaptive Algorithm for Digital Predistortion Using GNGD with Momentum Factor." In Communications in Computer and Information Science, 446–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31965-5_52.
Full textYu, Xin, Georg Fischer, and Andreas Pascht. "Stability Enhancement of Digital Predistortion Through Stationary Iterative Methods to Solve System of Equations." In Electromagnetics and Network Theory and their Microwave Technology Applications, 263–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18375-1_19.
Full textFeng, Xiaoning, Peng Zhang, and Tianxiao Cui. "Effects of Even-Order Nonlinear Terms and Oversampling Rate on Digital Baseband Predistortion Linearization." In Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering, 53–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31698-2_8.
Full textBaudoin, Genevieve, Olivier Venard, and Dang-Kien Germain Pham. "Digital predistortion." In Digitally Enhanced Mixed Signal Systems, 65–123. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbcs040e_ch3.
Full text"Baseband Digital Predistortion." In Behavioral Modeling and Predistortion of Wideband Wireless Transmitters, 209–46. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119004424.ch9.
Full textConference papers on the topic "Digital predistortion"
Lei Ding, Zigang Yang, and Hardik Gandhi. "Concurrent dual-band digital predistortion." In 2012 IEEE/MTT-S International Microwave Symposium - MTT 2012. IEEE, 2012. http://dx.doi.org/10.1109/mwsym.2012.6259532.
Full textBrihuega, Alberto, Lauri Anttila, Mahmoud Abdelaziz, and Mikko Valkama. "Digital Predistortion in Large-Array Digital Beamforming Transmitters." In 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2018. http://dx.doi.org/10.1109/acssc.2018.8645137.
Full textWu, Shanying, S. f. Hau, and Yi Zhao. "An adaptive algorithm for digital predistortion." In 2006 10th IEEE Singapore International Conference on Communication Systems. IEEE, 2006. http://dx.doi.org/10.1109/iccs.2006.301452.
Full textShi, Zhan, Jianmin Zhou, Hui Li, and Jianming Wu. "Performance analysis for scalar digital predistortion." In 2013 IEEE Topical Conference on Power Amplifiers for Wireless and Radio Applications (PAWR). IEEE, 2013. http://dx.doi.org/10.1109/pawr.2013.6490186.
Full textSong, Jiajia, and Yuelin Ma. "Wideband platform for digital predistortion validation." In 2011 International Conference on Electronics, Communications and Control (ICECC). IEEE, 2011. http://dx.doi.org/10.1109/icecc.2011.6067874.
Full textShi, Zhan, Jianmin Zhou, Hui Li, and Jianming Wu. "Performance analysis for scalar digital predistortion." In 2013 IEEE Radio and Wireless Symposium (RWS). IEEE, 2013. http://dx.doi.org/10.1109/rws.2013.6486650.
Full textAmiri, M. V., M. Helaoui, and F. M. Ghannouchi. "Streamlined MIMO cross-over digital predistortion." In 2014 IEEE Radio and Wireless Symposium (RWS). IEEE, 2014. http://dx.doi.org/10.1109/rws.2014.6830132.
Full textSmirnov, A. V. "Optimization of Digital Predistortion with Memory." In 2018 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO). IEEE, 2018. http://dx.doi.org/10.1109/synchroinfo.2018.8456943.
Full textLou, Jingyi, and Xiaoxu Qu. "Theoretical Investigation of Digital Predistortion System." In 2015 International Industrial Informatics and Computer Engineering Conference. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/iiicec-15.2015.255.
Full textWu, Yibo, Ulf Gustavsson, Alexandre Graell i. Amat, and Henk Wymeersch. "Residual Neural Networks for Digital Predistortion." In GLOBECOM 2020 - 2020 IEEE Global Communications Conference. IEEE, 2020. http://dx.doi.org/10.1109/globecom42002.2020.9322327.
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