Identification of energy-hidden chirp signals of telecommunication systems in conditions of parametric uncertainty

Andrii B. Steiskal; Sergii O. Kovtun; Oleksandr A. Iliashov; Vitalii V. Voitko

doi:10.3103/S0735272720080026

Authors

Andrii B. Steiskal Research Institute of the Ministry of Defense of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-7207-6042
Sergii O. Kovtun CIF Krypton LLC, Kyiv, Ukraine https://orcid.org/0000-0001-6959-8133
Oleksandr A. Iliashov Research Institute of the Ministry of Defense of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-8099-5057
Vitalii V. Voitko Research Institute of the Ministry of Defense of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-2490-7697

DOI:

https://doi.org/10.3103/S0735272720080026

Keywords:

chirp signal, chirp modulation, CM, autocorrelation algorithm, a priori uncertainty, energy-hidden signal, correlation method, radio monitoring, aggregate signal, broadband signal, identification

Abstract

The ambiguity diagram of rectangular chirp RF pulse has been analyzed. The characteristic point of ambiguity diagram was identified. It was proposed to identify the signal on the basis of correlation level at the characteristic point of ellipsoidal ambiguity diagram built in a special coordinate system. The quasi-optimal autocorrelation algorithm with quadrature processing is proposed. This algorithm is resistant to a priori uncertainty of parameters of input energy-hidden signals with unknown waveform and unknown initial phase against the background of Gaussian stationary noise. The tuning parameters of identification scheme and the decision-making rule regarding the availability of chirp signal in the input mixture were determined. The simulation modeling of identification procedure was conducted using the software package Matlab R2016a. The simulation results confirmed the ability of the proposed algorithm to identify the chirp signal in the input mixture at small values of the signal-to-noise ratio.

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