**METHOD OF COUNTERING DESTRUCTIVE ELECTROMAGNETIC INFLUENCES, BASED ON ADDITIONAL MODULATION WITH APPLICATION OF WAVELET TRANSFORMATION IN SPECIAL APPLICATION NETWORKS**

UDC 654.16

DOI:10.26102/2310-6018/2020.29.2.039

I.V. Gilev, S.V. Kanavin, A.V. Popov, N.S. Khokhlov

*The article discusses a method of counteracting destructive electromagnetic effects, based on the transfer of the signal spectrum using wavelet transforms in special communication networks (SS SN), operating on the basis of the WIMAX standard for mobile broadband access. A Gaussian bipolar pulse is selected as a model of destructive electromagnetic influence that affects the operation of a special purpose communication network. When this type of interference is affected by a WIMAX system signal, the normal operation of the CC SN is disrupted. The MHAT wavelet was chosen as the modulating function, since it is described in the time-frequency half-plane and its parameters depend on certain coefficients of the scaling factor and the time shift. Thus, it is possible to change the parameters of the modulated signal by changing the coefficients of the wavelet function by which it is modulated. MHAT wavelet, obtained as a result of double differentiation of the Gauss function. This method finds its application primarily due to the fact that the wavelet operates in the time-frequency half-plane and its parameters depend on certain coefficients (scaling factor and time shift). Thus, it is possible to change the parameters of the modulated signal by changing the coefficients of the wavelet function by which it is modulated. The results of this method are the transfer of the spectrum of the WIMAX signal to another frequency band, where the SS SN also functions by modulating the wavelet function, as well as increasing its power and expanding the spectrum.
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**Keywords:**broadband communication system, WIMAX communication systems, modeling of functioning under conditions of destructive electromagnetic influences, а method of counteracting destructive electromagnetic influences using wavelet transform, MHAT-wavelet.

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