Detection of new radio emissions in automated radio monitoring
DOI:
https://doi.org/10.30837/rt.2025.4.223.15Keywords:
radio control, stationary interference, detection of unknown signals, probabilistic properties of signalsAbstract
The purpose of this work is to develop and investigate methods for detecting new radio emissions against a background of stationary interference under conditions of a priori uncertainty.
The methods used include the approach based on a probabilistic model of orthogonal expansions of observations. Decision rules were developed by comparing the Mahalanobis distance and Euclidean distances between current and reference signal energy spectra. Experimental studies were conducted on samples of real data from the shortwave range.
The main results and significance proposed and justified here include a family of detection algorithms, adapted to conditions of a priori uncertainty (particularly for Gaussian distributions). Experimental results confirmed the high effectiveness of the proposed algorithms. The developed algorithms are suitable for application in automated radio monitoring systems for the timely detection of new radiation sources.
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