Advertisement

Distortion Types Separation of QAM-16 Signal

  • Andrei E. Kiselnikov
  • Mikhail A. Dubov
  • Andrei L. PriorovEmail author
Chapter
  • 12 Downloads
Part of the Intelligent Systems Reference Library book series (ISRL, volume 184)

Abstract

The spectral efficiency and signal quality are the main requirements for modern communication devices. This chapter describes a method of identification of QAM-16 signal distortion on the transmitter out. This method is based on the error vector magnitude analysis. The proposed method is compatible with all up-to-date measurement equipment. In addition, the features of modeling different signal distortion examined in this chapter. The method of reconstruction of real power amplifier devices characteristics is implemented in MATLAB Simulink. It allows to estimate the influence of non-linear amplifier distortion.

Keywords

Error vector magnitude Quadrature modulation Nonlinear-distortion Distortion identification 

Notes

Acknowledgements

The reported study was supported by the ETMC Exponenta (Russian The MathWorks department).

References

  1. 1.
    Kiselnikov, A., Dubov, M., Priorov, A.: Non-reference metrics and its application for distortion compensation. In: 21th Conference of Open Innovations Association, pp. 172–181 (2017)Google Scholar
  2. 2.
    Application note: 802.11ac Transmitter Modulation Testing. Available at: https://www.mathworks.com/help/wlan/examples/802-11ac-transmitter-modulation-accuracy-and-spectral-emission-testing.html. Accessed 06 July 2019
  3. 3.
    Device datasheet: Amplifier Module Polyfet RF Devices MLCQ-02. Available at: http://www.polyfet.com/module/mlcq02.PDF. Accessed 06 July 2019
  4. 4.
    Kundert, K.: Accurate and Rapid Measurement of IP 2 and IP 3. Available at: https://www.researchgate.net/scientific-contributions/11208128_Ken_Kundert. Accessed 06 July 2019
  5. 5.
    Software Documentation: Block Distortion in the Environment MATLAB Simulink. Available from: https://www.mathworks.com/help/comm/ref/iqimbalancecompensator.html. Accessed 06 July 2019
  6. 6.
    Mendosa, O.: Measuring of EVM for 3G Receivers. Master Thesis Chalmers University of Technology, Gothenburg, Sweden (2002)Google Scholar
  7. 7.
    Measurement Guidelines for DVB Systems. ETSI TR101 290 (2001)Google Scholar
  8. 8.
    Application Note: Modulation Error Ratio (MER) and Error Vector Magnitude (EVM). National instruments. Available from: http://www.ni.com/white-paper/3652/en/. Accessed 06 July 2019
  9. 9.
    Georgiadis, A.: Gain, phase imbalance, and phase noise effects on the error vector magnitude. IEEE Trans. Veh. Technol. 53(2), 443–449 (2004)CrossRefGoogle Scholar
  10. 10.
    Lin, F., Chen, S., Chen, I., Chung, H.: Computer simulation and adjacent channel power ratio (ACPR) for amplifier. In: Automotive Technology Conference, pp. 2024–2028 (1999)Google Scholar
  11. 11.
    Qizheng, G.: RF System of Transceivers for Wireless Communications. Springer, US (2005)Google Scholar
  12. 12.
    Wang, A.K., Ligmanowski, R.: EVM simulation and analysis techniques. In: IEEE Conference on Military Communications, pp. 3043–3049 (2006)Google Scholar
  13. 13.
    Olgaard, C.: Using WLAN transmitter degradations. RF Design 27, 28–36 (2004)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Andrei E. Kiselnikov
    • 1
  • Mikhail A. Dubov
    • 1
  • Andrei L. Priorov
    • 1
    Email author
  1. 1.P.G. Demidov, Yaroslavl State UniversityYaroslavlRussian Federation

Personalised recommendations