A New Deinterleaving Approach Based On Clustering and PRI Type Recognition

• DOI: 10.2339/politeknik.1489107
• Publication Date: 2025-04-27T09:30:11Z
• Authors: Şefika Çağlan; Ali Değirmenci; İlyas Çankaya

In an electronic warfare environment, numerous radars operate, each designed with distinct signal waveforms tailored to fulfill specific missions. The deinterleaving of is a fundamental function system. Following deinterleaving, identifying the Pulse Repetition Interval (PRI) modulation type becomes essential for enhanced radar recognition and understanding its function. this study, new clustering rule-based method proposed deinterleave pulses recognize PRI modulations. Ordering Points Identify Clustering Structure (OPTICS) employed cluster signals. Difference Time Arrival (DTOA)-based find PRIs in clustered data. A used determine from obtained values. experiments, phases were analyzed separately. performance OPTICS was tested under different conditions: (i) high counts, (ii) close proximity clusters, (iii) densities forms, showed good results clustering. detection also on simulation dataset consisting 4 types (constant, agile, stagger dwell&switch). indicate that effective determining