V.B. Suchkov1, V.V. Glazkov2, D.A. Vlasenko3

1,2,3 Bauman Moscow State Technical University (Moscow, Russia)

1 vbs-2014@bmstu.ru, 2 glazkovv@bmstu.ru, 3 da.vlasenko@bmstu.ru

Locating radio emission sources (RES) in multi-position radio monitoring systems using the time-difference-of-arrival (TDOA) method requires accurate estimation of mutual time delays of stochastic signals received by spatially separated stations; the influence of the signal-to-noise ratio (SNR) and digital processing features on the accuracy of cross-correlation processing has not been sufficiently studied, which limits the sound selection of radio monitoring system parameters Objective – Investigation of the effect of the signal-to-noise ratio on the accuracy of time-delay estimation for stochastic signals in multi-site radio monitoring systems employing baseline-correlation processing.

A mathematical formulation is presented for the problem of locating radio emission sources using the time-difference-of-arrival (TDOA) method. A mathematical model has been developed to estimate time delay via correlation-based processing in both continuous and discrete time. Statistical estimates were obtained for the time delay of signals with intra-pulse linear frequency modulation across various signal-to-noise ratios and frequency deviation values. A threshold effect was identified, and it was determined that estimation accuracy is limited to half the sampling interval at high signal-to-noise ratios.

The results obtained make it possible to justify the choice of digital signal processing parameters and to evaluate the applicability conditions for baseline-correlation processing when designing multi-static radio monitoring systems, including those based on unmanned aerial vehicles.

Suchkov V.B., Glazkov V.V., Vlasenko D.A. Application features basic correlation processing stochastic signals from radio emission sources in multi-position radio monitoring systems // Science Intensive Technologies. 2026. V. 27. № 5. P. 7−21. DOI: https://doi.org/10.18127/j19998465-202605-02

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