Now showing items 1-5 of 5

    • Automatic radar antenna scan type recognition in electronic warfare 

      Barshan, B.; Eravci, B. (Institute of Electrical and Electronics Engineers, 2011-10-04)
      We propose a novel and robust algorithm for antenna scan type (AST) recognition in electronic warfare (EW). The stages of the algorithm are scan period estimation, preprocessing (normalization, resampling, averaging), ...
    • Deep learning in electronic warfare systems: Automatic intra-pulse modulation recognition 

      Akyön, Fatih Çağatay; Alp, Y. K.; Gök, G.; Arıkan, Orhan (Institute of Electrical and Electronics Engineers, 2018)
      Detection and classification of radars in electronic warfare systems is a major problem. In this work, we propose a novel deep learning based method that automatically recognizes intra-pulse modulation types of radar ...
    • Jamming bandits-a novel learning method for optimal jamming 

      Amuru, S.; Tekin, C.; Van Der Schaar, M.; Buehrer, R.M. (Institute of Electrical and Electronics Engineers Inc., 2016)
      Can an intelligent jammer learn and adapt to unknown environments in an electronic warfare-type scenario? In this paper, we answer this question in the positive, by developing a cognitive jammer that adaptively and optimally ...
    • Radio communications interdiction problem 

      Tanergüçlü, Türker (Bilkent University, 2020-02)
      Tactical communications have always played a pivotal role in maintaining effective command and control of troops operating in hostile, extremely fragile and dynamic battlefield environments. Radio communications, in particular, ...
    • Radio Communications Interdiction Problem under deterministic and probabilistic jamming 

      Tanergüçlü, Türker; Karaşan, Oya Ekin; Akgün, I.; Karaşan, Ezhan (Elsevier, 2019)
      The Radio Communications Interdiction Problem (RCIP) seeks to identify the locations of transmitters on the battlefield that will lead to a robust radio communications network by anticipating the effects of intentional ...