Improvements on deinterleaving of radar pulses in dynamically varying signal environments

Gencol K., Kara A., At N.

DIGITAL SIGNAL PROCESSING, vol.69, pp.86-93, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 69
  • Publication Date: 2017
  • Doi Number: 10.1016/j.dsp.2017.06.010
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.86-93
  • Keywords: Electronic support systems, Deinterleaving, Self-organizing map (SOM), Fuzzy ART, Pulse amplitude tracking algorithm, SELF-ORGANIZING MAPS, FUZZY ART, PATTERN-RECOGNITION, IMPROVED ALGORITHM, CLASSIFICATION, CATEGORIZATION, NETWORK
  • Gazi University Affiliated: No


An electronic support system receiver which is a passive receiver picks up an interleaved stream of pulses and extracts their pulse parameters. These parameters are sent to a deinterleaving subsystem which sorts them and forms pulse cells that each are assumed to belong to a specific emitter. In this paper, we develop a method for this task of deinterleaving of radar pulse sequences. For this aim, a novel pulse amplitude tracking algorithm is proposed for dynamically varying signal environments wherein radar parameters can change abruptly. This method particularly works for air-to-air engagements where pulse amplitude distortion due to channel effects can be considered negligible. Simulation results show that the proposed algorithm incorporated with a clustering algorithm improves deinterleaving of radar emitters that have agile pulse parameters such as airborne radars. (C) 2017 Elsevier Inc. All rights reserved.