Discontinuous Jamming Suppression via Cognitive-Segmentation BSS

Modern radar systems encounter the challenge of jamming suppression in practical applications. The agile composite jamming, produced by contemporary jammer, often exhibits discontinuous characteristics. This significantly impacts the stationarity of signal and diminishes the effectiveness of traditional jamming suppression methods like blind source separation (BSS). In this paper, a cognitive-segmentation BSS method is proposed to suppress discontinuous jamming. Initially, multi-level energy thresholds are obtained through adaptive optimization, and the energy distribution of the discontinuous jamming can be identified. Subsequently, the cognitive results are merged and segmented into energy-stable intervals, thereby transforming a single segment of discontinuous jamming into multiple segments of continuous jamming. Finally, BSS is performed on each continuous jamming segment to suppress the jamming. The numerical results demonstrate that the proposed method can accurately segment discontinuous jamming and exhibits an outstanding jamming suppression effect.