A dynamic STC attenuation strategy based on environmental perception

Abstract The fixed static STC suppression strategy is often applied in project practice. There is frequently an issue where clutter procession algorithms fail to swiftly adapt to environmental changes, leading to an increased false alarm rate in radar systems, which significantly impairs the normal detection of targets and, consequently, directly undermines the tactical effectiveness of air defense operational command systems. The paper discusses that signal processing is used to process the data before and after the attenuation of STC in the full range section respectively, and the attenuation value in the full range section is quantified according to the minimum scale. After multiple iterations, an attenuation benchmark is set for different range segments to enable dynamic selection of STC (Sensitivity Time Control) attenuation strategies. This enhances the adaptive and rapid matching capabilities of clutter suppression strategies to changing environments, achieving a dynamic balance between target detection probability and false alarm rate. Ultimately, it realizes the radar’s clutter environment perception and adaptive clutter processing capabilities, enabling the radar to maintain superior target detection performance in cluttered or interfered environments.