UDC 621.396.62
EXPERIMENTAL VERIFICATION OF SIGNAL TYPE RECOGNIZING ALGORITHM IN THE AUTOCORRELATION RECEIVER
Nguyen Trong Nhan, post-graduate student, department of Radio-Electronic Devices, Saint Petersburg Electrotechnical University «LETI», Saint Petersburg, Russia;
orcid.org/0000-0001-6626-893X, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A. S. Podstrigaev, Ph.D. (Tech.), associate Professor, Department of Radio-Electronic Devices, Saint Petersburg Electrotechnical University «LETI», Saint Petersburg, Russia;
orcid.org/0000-0003-4144-222X, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
We consider the task of studying the efficiency of autocorrelation receiver (ACR) for RF spectrum monitoring on real signals. The work aims to conduct experimental testing of the mathematical model of signal type recognition algorithm (simple, chirp and phase-shift keyed (PSK) signals) in ACR. Comparison of detection characteristics for imitated and real signals in the ACR of RF spectrum monitoring means is carried out. Experimental verification of the mathematical model for signal type recognition algorithm in the ACR showed the following: a mathematical model makes it possible to effectively identify the type of signal when SNR is more than –2 dB; under identical processing conditions, a chirp signal has the highest probability of correct recognition; identification of real simple, chirp and PSK signals requires SNR of 0.2...2 dB more than the identification of similar simulated signals. The research results can be used to develop RF spectrum monitoring means.
Key words: simple signals, chirp signals, PSK signals, signal type recognition, detection characteristics, autocorrelation receiver, mathematical model, RF spectrum monitoring.