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QAM-16 signal distortion type identification

Keywords:

A.E. Kiselnikov – Post-graduate Student, P.G. Demidov Yaroslavl State University
E-mail: a.kiselnikov@uniyar.ac.ru
A.L. Priorov – Dr.Sc (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University
E-mail: andcat@yandex.ru
M.A. Dubov – Ph.D (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University
E-mail: m.dubov@yandex.ru


This work devoted to QAM-16 signal distortion modeling and analysis. The method for identification type of signal distortion on transmitter out proposed. This method is based on error vector magnitude analysis. Proposed method is compatible with all up-to-date measurement equipment like KeySight measurement devices.

In addition, the futures of modeling different signal distortion examined in this paper. The method of reconstruction real power amplifier devices characteristics in Matlab Simulink proposed. It allows to estimate influence of non-linear amplifier distortion. Also the analytic equation for most spread metrics of quadrature signal quality assessment are given in this paper.

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