SIGNAL CLASSIFICATION METHOD Russian patent published in 2023 - IPC G01R23/16 

Abstract RU 2789386 C1

FIELD: radio engineering.

SUBSTANCE: inventio is intended for classification of signals in the field of radio engineering. The essence of the invention lies in the fact that the received signal is divided into segments in the time domain, the amplitude spectra of these segments are obtained, the values of the carrier frequency of the signal in each segment are determined, the nature of the change in the obtained values of the carrier frequency of the signal is evaluated, and based on the evaluation results, a decision is made on the type of the received signal. Additionally, to assess the nature of the change in the carrier frequency of the signal, a linear approximation of the law of change in the carrier frequency is calculated, characterized by a slope coefficient and dispersion, the obtained values of the carrier frequency of the signal in each segment are averaged and a reference signal is formed with a carrier frequency equal to the difference between the obtained average value of the carrier frequency and the specified frequency value, the frequency of the received signal is transferred to a given non-zero intermediate frequency (IF), the components of the signal spectrum are isolated on the IF, the low-frequency envelope of the selected signal is determined, the IF of the signal after the transfer is doubled, the components of the signal spectrum are isolated on the doubled IF, the low-frequency envelope of the selected signal is determined on the doubled IF, and based on the results of comparing the values of the slope coefficient of the obtained linear approximation and its dispersion, as well as the number of dips of the low-frequency envelopes of the selected signals on the IF and the doubled IF with given threshold values, the type of signal is determined.

EFFECT: expansion of the number of types of simple and complex signals controlled in the course of radio monitoring (RM).

1 cl, 2 dwg, 1 tbl

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RU 2 789 386 C1

Authors

Chan Khyu Ngkhi

Podstrigaev Aleksei Sergeevich

Nguen Chong Nkhan

Dates

2023-02-02Published

2022-07-19Filed