The relevance of this study stems from the widespread use of antenna arrays in radar, navigation, and communication systems, where interference suppression efficiency critically depends on adaptive algorithms. The classical RLS algorithm loses stability in the face of pulsed and non-stationary interference, which poses challenges for operation in real-world conditions (moving objects, the Doppler effect, and intentional jamming). The objective of this study is a comparative analysis of the classical RLS and a hybrid RLS algorithm with adaptive α-β pre-filtering under the influence of 11 types of heterogeneous interference. The study was based on simulation modeling implemented in the MATLAB environment. For each of the 11 types of interference, the following parameters were varied: the interference-to-signal power ratio (ΔP, which ranged from 1 to 11), the angular misalignment between the signal and interference arrival directions (range from 0° to 9°), and the presence of the Doppler effect (carrier frequency shift of 0 % and 10 %). A total of 24,200 computational experiments were conducted, processing over 193 million data samples. The classical RLS algorithm demonstrates acceptable performance only under stationary conditions. When exposed to pulsed, semi-periodic, and combined interference, its output signal-to-noise ratio decreases to negative values. In contrast, the hybrid RLS+αβ algorithm provides a stable output signal-to-noise ratio level above 20 dB in all considered scenarios, and in the worst-case scenarios, it outperforms classical RLS by 20–25 dB. The Doppler effect has virtually no effect on the performance of the hybrid algorithm, whereas for classical RLS, it leads to divergence of weighting coefficients and loss of performance. The proposed hybrid algorithm is a universal and robust solution for antenna arrays operating in complex, non-stationary interference environments. The results can be used in the design of radar systems, unmanned aerial vehicles navigation, and electronic warfare systems.
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Glushankov Evgenii Ivanovich
Doctor of Engineering Sciences, Professor
Scopus | ORCID | eLibrary |
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Saint-Petersburg, Russian Federation
Ageychik Nikita Olegovich
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Saint-Petersburg, Russian Federation
