Improved dynamic range for multi-tone signal using model-based pre-distortion

• Autorzy: Luque C. A. , Björsell N.
• Języki publikacji: EN

Abstrakty

EN

Some test and measurement applications require higher dynamic range for multi-tone signals than a signal generator can generate. Moreover, for other applications it can be interesting to improve the performance of a "low cost" signal generator. The spectral purity of generated signals can be improved by using pre-distorted base-band signals. In this paper, two model-based pre-distorters are described, where the pre-distorters are based on a static and a dynamic model, respectively. A pre-distorter is used in order to improve the dynamic range. The results, which are based on measurements, show an improved dynamic range for a three-tone signal of approximately 10 dB and an improved ACPR of 5.7 dB for a WCDMA signal.

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2009
• Tom: Vol. 16, nr 1
• Strony: 129--141
• Opis fizyczny: Bibliogr. 16 poz., rys., tab., wykr.

Twórcy

autor

Luque C. A.

autor

Björsell N.

• University of Gävle, ITB/Electronics, SE-801 76 Gävle, Sweden,

Bibliografia

• [1] M. Valkama, M. Renfors, V. Koivunen: “Advanced methods for I/Q imbalance compensation in communication receivers”. IEEE Transactions on Signal Processing, vol. 49, 2001, pp. 2335-44.
• [2] M. Faulkner, T. Mattsson: “Spectral sensitivity of power amplifiers to quadrature modulator misalignment”. IEEE Transactions on Vehicular Technology, vol. 41,1992, pp. 516-525.
• [3] D. Wisell, T. Öberg: Analysis and identification of transmitter non-linearities. Bournemouth, UK, 2000, pp. 418-21.
• [4] D. Wisell: “Identification and Measurement of Transmitter Nonlinearities”. ARFTG, Boulder, CO, 2000.
• [5] D. Rabijns, G. Vandersteen, W. Van Moer, Y. Rolain, j. Schoukens: “Creating spectral pure signals for ADC-testing”. IMTC 03, 2003.
• [6] D. Rabijns, W. Van Moer, G. Vandersteen: “Spectrally pure excitation signals: only a dream?”. IEEE Transactions on Instrumentation and Measurement, vol. 53, 2004, pp. 1433-40.
• [7] C. Luque, N. Björsell: “Model-Based Pre-Distortion for Signal Generators”. Proceedings GigaHertz Symposium 2008, Gothenburg; Sweden, 2008, pp. 88.
• [8] C. Luque, N. Björsell: “Improved dynamic range for multi-tone signal using model-based pre-distortion”. Proceedings of the 13th Workshop on ADC Modelling and Testing, Florence, Italy, 2008, pp. 1003-1007.
• [9] J.V. Mathews, G.L. Sicuranza: Polynomial Signal Processing. New Jersey. John Wiley & Sons, 2000.
• [10] J.W. Zhang, Qiang Hao, Qing: “LUT Predistortion Based On Measured Non-Linear Characteristics of Power Amplifier”. Department of Electronic Engineering. China, 2007.
• [11] R.H.Q.Z. Raich, G.T: “Orthogonal polynomials for power amplifier modeling and predistorter design”. IEEE Transactions on Microwave Theory and Techniques, 2004.
• [12] M.H. Hayes: Statistical digital signal processing and modeling. New York.
• [13] J.G. Proakis: Digital Communications. 4th ed.: McGraw-Hill, 2001.
• [14] D. Lei, G.T. Zhou, D.R. Morgan, M. Zhengxiang, J.S. Kenney, K. Jaehyeong, C.R. Giardina: Memory polynomial predistorter based on the indirect learning architecture. Taipei, Taiwan, 2002, pp. 967-71.
• [15] J. Kim, K. Konstantinou: Digital predistortion of wideband signals based on power amplifiermodel with memory. vol. 37, 2001, pp. 1417-1418.
• [16] N. Borges de Carvalho, J.C. Pedro: “A comprehensive explanation of distortion sideband asymmetries”. IEEE Transactions on Microwave Theory and Techniques, vol. 50, 2002, pp. 2090-101.