A.K. Ermakov1

1 St. Petersburg State University of Aerospace Instrumentation (St. Petersburg, Russia)

1 ermakov.alexandr.k@gmail.com

Information from open sources gives an idea of the fact that unmanned aircraft mainly fly at low altitudes. The reason for this is the scattering of the probing radio signal from the underlying surface, which leads to large errors in measuring the angular coordinates of such objects. The aim of the work is to develop an algorithm for estimating the angle of a low-flying radar target in conditions of a low level of the diffuse component in the signal received by the radar station. An algorithm for estimating the angular coordinate of a low-flying radar target is proposed, based on the linearization of an unknown parameter using Taylor series expansion using the likelihood function maximization method. To evaluate the results of the algorithm, mathematical modeling and comparison with the already known algorithm in the approximation of the Kramer-Rao boundary were carried out. The results showed high efficiency at large signal-to-noise ratio. At the same time, with small signal-to-noise ratios, the algorithm showed better results compared to its counterpart. The results of the work can be applied in radar surveillance, guidance and target designation stations operating on radar low-flying targets.

Ermakov A.K. An algorithm for estimating the angular coordinates of low-flying radar targets. Achievements of modern radioelectronics. 2024. V. 78. № 8. P. 6–11. DOI: https://doi.org/10.18127/j20700784-202408-02 [in Russian]

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