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4 - Test benches for wireless system characterization and modeling

Published online by Cambridge University Press:  05 June 2014

Nuno Borges Carvalho  and
Dominique Schreurs
Nuno Borges Carvalho
Affiliation:
Universidade de Aveiro, Portugal
Dominique Schreurs
Affiliation:
Katholieke Universiteit Leuven, Belgium
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Summary

Introduction

In this chapter the main objective is to present several test benches for modeling and characterization that allow a correct identification of several linear and nonlinear parameters useful for wireless systems. These benches include the following.

  1. 1. Test benches for characterization

  2. a. Power-meter measurement

  3. b. Noise-figure measurements

  4. c. Two-tone measurements

  5. d. VNA measurements

  6. e. NVNA measurements

  7. f. Modulated signal measurements

  8. g. Mixed-domain (analog and digital) measurements

  9. h. Temperature-dependent measurements

  10. 2. Test benches for behavioral modeling

  11. a. Volterra-series modeling

  12. b. State-space modeling

  13. c. Beyond S-parameters

Test benches for characterization

Power-meter measurements

As referred to in Chapters 1 and 2, power was the first important measurement to become available for radio communications, since it allows a wireless system engineer to calculate and predict some of the most important aspects of radio propagation. In order to measure power, a power meter should be used. A typical setup is presented in Fig. 4.1. A typical instrument is shown in Fig. 4.2.

When using a power meter, several steps should be executed prior to the measurement itself, and several parameters should be known in advance for tuning and selecting the correct set. The first step towards a power measurement is the correct selection of the power probe. The selection depends on the frequency range which the probe can cover, as well as the power range.

Type
Chapter
Information
Microwave and Wireless Measurement Techniques , pp. 166 - 216
Publisher: Cambridge University Press
Print publication year: 2013

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References

[1] N. B., Carvalho, J. C., Pedro, and J. P., Martins, “A corrected microwave multisine waveform generator,” IEEE Trans. Microwave Theory Tech., vol. 54, no. 6, part 2, pp. 2659–2664, Jun. 2006.Google Scholar
[2] N., Suematsu, Y., Lyama, and O., Ishida, “Transfer characteristic of IM relative phase for a GaAs FET amplifer,” IEEE Trans. Microwave Theory Tech., vol. 45, no. 12, pp. 2509–2514, Dec. 1997.Google Scholar
[3] Y., Yang, J., Yi, J., Nam, B., Kim, and M., Park, “Measurement of two-tone transfer characteristics of high-power amplifers,” IEEE Trans. Microwave Theory Tech., vol. 49, no. 3, pp. 568–571, Mar. 2001.Google Scholar
[4] J. P., Martins and N. B., Carvalho, “Multi-tone phase and amplitude measurement for nonlinear device characterization,” IEEE Trans. Microwave Theory Tech., vol. 53, no. 6, pp. 1982–1989, Jun. 2005.Google Scholar
[5] N. B., Carvalho and J. C., Pedro, “A comprehensive explanation of distortion side band asymmetries,” IEEE Trans. Microwave Theory Tech., vol. 50, no. 9, pp. 2090–2101, Sep. 2002.Google Scholar
[6] R., Liu, D., Schreurs, W., De Raedt, F., Vanaverbeke, and R., Mertens, “RF-MEMS based tri-band GaN power amplifier,” Electronics Lett., vol. 47, no. 13, pp. 762–763, Jun. 2011.Google Scholar
[7] M. A. Yarleque, Medina, D., Schreurs, and B., Nauwelaers, “RF class-E power amplifier design based on a load line-equivalent capacitance method,” IEEE Microwave Wireless Components Lett., vol. 18, no. 3, pp. 206–208, Mar. 2008.Google Scholar
[8] J., Dunsmore, “Novel method for vector mixer characterization and mixer test system vector errorcorrection,” in IEEEMTT-SInternational Microwave Symposium, Jun. 2002, pp. 1833–1836.Google Scholar
[9] J., Dunsmore, “A new calibration method for mixer delay measurements that requires no calibration mixer,” in European Microwave Conference (EuMC), Oct. 2011, pp. 480–483.Google Scholar
[10] G., Pailloncy, G., Avolio, M., Myślińskiet al., “Large-signal network analysis including the baseband,” IEEE Microwave Mag., vol. 12, no. 2, pp. 77–86, Apr. 2011.Google Scholar
[11] G., Crupi, G., Avolio, D., Schreurset al., “Vector two-tone measurements for validation of nonlinear microwave FINFET model,” Microelectronic Eng., vol. 87, no. 10, pp. 2008–2013, Oct. 2010.Google Scholar
[12] N. B., Carvalho, K. A., Remley, D., Schreurs, and K. G., Gard, “Multisine signals for wireless system test and design,” IEEE Microwave Mag., vol. 9, no. 3, pp. 122–138, Jun. 2008.Google Scholar
[13] M., Myśliński, D., Schreurs, and B., Nauwelaers, “Large-signal time-domain behavioral model of a packaged high efficient wireless circuit design,” in European Microwave Conference (EuMC), Oct. 2004, pp. 565–568.Google Scholar
[14] F. F., Vanaverbeke, W. W., De Raedt, D. D., Schreurs, and M. M. Vanden, Bossche, “Real-time non-linear de-embedding,” in Automatic RF Techniques Group Conference, Jun. 2011, pp. 1–6.Google Scholar
[15] P. J., Tasker, “Practical waveform engineering,” IEEE Microwave Magazine, vol. 10, no. 7, pp. 65–76, Dec. 2009.Google Scholar
[16] A., Raffo, G., Avolio, D., Schreurset al., “On the evaluation of the high-frequency load line in active devices,” Int. J. Microwave Wireless Tech., vol. 3, no. 1, pp. 19–24, Feb. 2011.Google Scholar
[17] J., Pedro and N., de Carvalho, “Characterizing nonlinear RF circuits for their inband signal distortion,” IEEE Trans. Instrumentation Measurement, vol. 51, no. 3, pp. 420–426, Jun 2002.Google Scholar
[18] H., Ku, W., Woo, and J., Kenney, “Carrier-to-interference ratio prediction of nonlinear RF devices,” Microwave J., vol. 44, no. 2, pp. 154–164, 2001.Google Scholar
[19] C., Ghosh, S., Roy, and D., Cavalcanti, “Coexistence challenges for heterogeneous cognitive wireless networks in TV white spaces,” IEEE Trans. Wireless Communications, vol. 18, no. 4, pp. 22–31, Aug. 2011.Google Scholar
[20] P., Cruz, N., Carvalho, and K., Remley, “Designing and testing software-defined radios,” IEEE Microwave Mag., vol. 11, no. 4, pp. 83–94, Jun. 2010.Google Scholar
[21] P., Cruz, N., Carvalho, K., Remley, and K., Gard, “Mixed analog-digital instrumentation for software-defined-radio characterization,” in 2008 IEEE MTT-S International Microwave Symposium Digest Jun. 2008, pp. 253–256.Google Scholar
[22] D., Schreurs, M., O'Droma, A., Goacher, and M., Gadringer, Behavioural Modelling Techniques for RF Power Amplifiers. Cambridge: Cambridge University Press, 2008.Google Scholar
[23] J. C., Pedro and N. B., Carvalho, Intermodulation Distortion in Microwave and Wireless Circuits. New York: Artech House, 2003.Google Scholar
[24] J., Pedro and S., Maas, “A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches,” IEEE Trans. Microwave Theory Techniques, vol. 53, no. 4, pp. 1150–1163, Apr. 2005.Google Scholar
[25] P., Cruz and N., Carvalho, “Wideband behavioral model for nonlinear operation of bandpass sampling receivers,” IEEE Trans. Microwave Theory Tech., vol. 59, no. 4, pp. 1006–1015, Apr. 2011.Google Scholar
[26] D., Schreurs, J., Wood, N., Tufillaro, L., Barford, and D., Root, “Construction of behavioural models for microwave devices from time-domain large-signal measurements to speed-up high-level design simulations,” Int. J. RF Microwave Computer Aided Eng. (RFMICAE), vol. 13, no. 1, pp. 54–61, Jan. 2003.Google Scholar
[27] D., Schreurs, K., Remley, M., Myśliński, and R., Vandersmissen, “State-space modelling of slow-memory effects based on multisine vector measurements,” in Automatic RF Techniques Group Conference (ARFTG), Dec. 2003, pp. 81–87.Google Scholar
[28] D., Schreurs and K., Remley, “Use of multisine signals for efficient behavioural modelling of RF circuits with short-memory effects,” in Automatic RF Techniques Group Conference (ARFTG), Jun. 2003, pp. 65–72.Google Scholar
[29] R., Pintelon and J., Schoukens, System Identification: A Frequency Domain Approach. New York: IEEE Press, 2001.Google Scholar
[30] D., Schreurs, M., Myśliński, and K., Remley, “RF behavioural modelling from mul-tisine measurements: Influence of excitation type,” in European Microwave Conference (EuMC), Oct. 2003, pp. 1011–1014.Google Scholar
[31] M., Myśliński, D., Schreurs, and B., Nauwelaers, “Impact of sampling domain and number of samples on the accuracy of large-signal multisine measurement-based behavioral model,” Int. J. RF Microwave Computer Aided Eng. (RFMICAE), vol. 20, no. 4, pp. 374–380, May 2010.Google Scholar
[32] J., Verspecht and D., Root, “Polyharmonic distortion modeling,” IEEE Microwave Magazine, vol. 7, no. 3, pp. 44–57, Jun. 2006.Google Scholar
[33] M., Myśliński, F., Verbeyst, M. Vanden, Bossche, and D., Schreurs, “S-functions extracted from narrow-band modulated large-signal network analyzer measurements,” in Automatic RF Techniques Group Conference (ARFTG), Dec. 2009, p. 8.Google Scholar
[34] M., Myśliński, F., Verbeyst, M. Vanden, Bossche and D., Schreurs, “A method to select correct stimuli levels for S-functions behavioral model extraction,” in IEEE MTT-S International Microwave Symposium, Jun. 2010, pp. 1170–1173.Google Scholar

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