A.V. Bashkirov − Dr.Sc. (Eng.), Associate Professor,
Head of Department of Design and Production of Radio Equipment,
FSBEI of HE «Voronezh State Technical University» (Voronezh, Russia)
E-mail: kipr@vorstu.ru
A.V. Krisilov − Ph.D. (Phys.-Math.), Senior Research Scientist,
FGKVOU VUNTS VVS «Air Force Academy named after Professor N. Ye. Zhukovsky and Yu.A. Gagarina» (Voronezh, Russia)
E-mail: alexph@mail.ru
V.V. Mashin − Post-graduate Student,
Department of Design and Production of Radio Equipment,
FSBEI of HE «Voronezh State Technical University» (Voronezh, Russia)
E-mail: kipr@vorstu.ru
A.V. Muratov − Dr.Sc. (Eng.), Professor,
Department of Design and Production of Radio Equipment,
FSBEI of HE «Voronezh State Technical University» (Voronezh, Russia)
E-mail: kipr@vorstu.ru
M.V. Khoroshailova − Ph.D. (Eng), Senior Lecturer,
Department of Design and Production of Radio Equipment,
FSBEI of HE «Voronezh State Technical University» (Voronezh, Russia) E-mail: kipr@vorstu.ru
Problem statement: A constant increase in the speed and volume of data transmission in the telecommunications sector leads to an increase in the role of mutual interference caused by various types of devices, increased noise in communication channels and the likelihood of data transmission errors. The study of the probabilities of bit and symbol errors is one of the key tasks in the development of digital communication systems. Minimizing the probability of errors is one of the main conditions for the spectral coexistence of radio signals. Currently, wireless digital communication systems are widely used signals with quadrature amplitude modulation QAM (Quadrature Amplitude Modulation). This type of signal is characterized by high spectral efficiency, which is the fundamental reason that determines their widespread distribution. Numerical modeling, including using the MATLAB software environment, is effectively used to study communication channels under various signal-noise conditions and to calculate the probabilities of bit and symbol errors. This paper presents the results of numerical simulation of bit error probabilities for a signal with quadrature amplitude modulation (16-QAM) for various ratios of signal power, interference, and additive white Gaussian noise. In MATLAB / Simulink, a model of a digital communication system with Gaussian white noise in a channel (AWGN) was implemented under the influence of an interference signal with 16-QAM / QPSK modulation in the presence of a frequency shift between the signal and the interference. Purpose: To consider the effect of digital jamming signals on the probability of signal reception errors with 16-QAM modulation. Conduct a numerical simulation in MATLAB to determine the types of interference modulation that cause the maximum probability of reception errors for a signal-to-noise ratio in the range 0...10 dB and noise-noise in the range 0...10 dB. Conduct an analysis of the probability of signal reception errors in the presence of interference.
Results: based on numerical simulation of receiving signals with 16-QAM modulation in the presence of noise and interference, it was found that the effect of interfering QPSK signals causes more bit errors than the effect of 16-QAM signals. In addition to the ratio of the power of the information signal, noise and interference, the probability of bit errors is significantly affected by the magnitude of the frequency shift between the information and the interference signal. An increase in the frequency shift leads to an increase in the number of bit errors, which is associated with the rotation of the signal constellation of the interfering signal. The limit value of the frequency shift, after exceeding which the probability of bit errors stops growing, depends on the length of the bit sequence.
Practical relevance: The results can be used to select the optimal interference parameters for the effective suppression of 16-QAM signals, as well as to increase the electromagnetic compatibility of radio communications.
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