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Journal Achievements of Modern Radioelectronics №7 for 2022 г.
Article in number:
Signal classification algorithm with detection at two intermediate frequencies for RF spectrum monitoring means
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700784-202207-03
UDC: 621.396.62
Authors:

Tran Huu Nghi1, A.S. Podstrigaev2, Nguyen Trong Nhan3

1-3 Saint Petersburg Electrotechnical University «LETI» (Saint Petersburg, Russia)

Abstract:

Simple pulse signals, up-chirp signals, down-chirp signals, phase-manipulated signals with binary and quadrature laws of phase sequence are widely used in radio information transmission systems, radiolocation and radio navigation. With the increasing need to transmit increasing amounts of information, interest in such signals has increased significantly, and the problem of creating an algorithm capable of detecting and classifying these signals is becoming increasingly urgent. Therefore, the study aims to justify and study the classification algorithm simple pulse signals, up-chirp signals, down-chirp signals, phase shifted signals with binary and quadrature laws of phase sequence with reduced signal to noise ratio. Dependences of probability of correct classification of enumerated signals in the background of white Gaussian noise on a signal-to-noise ratio by imitational modeling method for developed algorithm are obtained. Conclusions about the value of input signal-to-noise ratio that is necessary for correct classification of signals of different types are made. It is shown that the suggested algorithm permits the input signal-to-noise ratio to be smaller by up to 5…9 dB in comparison with the known algorithms for the classification of the above signals. In addition, the proposed algorithm provides high efficiency at signal-to-noise ratio more than –1 dB. The results obtained one can use to assess the sensitivity of the receiving equipment for RF spectrum monitoring.

Pages: 30-39
For citation

Tran Huu Nghi, Podstrigaev A.S., Nguyen Trong Nhan  Signal classification algorithm with detection at two intermediate frequencies for RF spectrum monitoring means. Achievements of modern radioelectronics. 2022. V. 76. № 7. P. 30–39. DOI: https://doi.org/10.18127/j20700784-202207-03 [in Russian]

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Date of receipt: 29.04.2022
Approved after review: 13.05.2022
Accepted for publication: 30.06.2022