Polarization-based target detection approach to enhance small surface object identification ensuring navigation safety

This research introduces a groundbreaking approach to significantly enhance the performance of navigation radars under adverse weather conditions. Traditional ship radars, relying on horizontal polarization, encounter difficulties in effectively suppressing rain interference. In response, this study proposed an innovative method employing circular polarization for detecting navigation targets. This technique capitalizes on the distinct polarization properties exhibited by stable navigation targets and fluctuating interfering objects. Theoretical analysis and model experiments substantiate consistent ellipticity parameter values of scattered waves, independent of rain intensity, for both rain interferers and surface metallic objects. The practical implications of our research are highly promising. They enable detection irrespective of the noise-to-signal ratio by integrating an additional channel of circularly polarized waves and applying straightforward mathematical functions. This advancement marks a significant stride towards overcoming the challenges posed by rainy conditions in maritime navigation radar systems.

Ключові слова

safety of shipping, navigational safety, maritime transportation, radar interference, unfavorable weather conditions, rain and snow interference suppression, navigational targets, automonous surface vehicles, radiolocation principles, ship detection principles framework, radar accuracy, безпека судноплавства, навігаційна безпека, морські перевезення, радіолокаційні перешкоди, несприятливі погодні умови, придушення перешкод, навігаційні цілі, автономні надводні транспортні засоби, принципи радіолокації, виявлення суден, точність радіолокації

Бібліографічний опис

Polarization-based target detection approach to enhance small surface object identification ensuring navigation safety / Stetsenko M., Melnyk O., Vorokhobin I., Korban D., Onishchenko O., Ternovsky V., Ivanova I. // Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал. – 2024. – № 1. – С. 35-51. – Бібліогр.: 45 назв.