Radar pulse deinterleaving with domain knowledge based clustering

International audienceNew radar technologies present new challenges to Racons. Racons need to be more sensitive to pickup weaker radar signals while ignoring interference from stronger ones. The problem of recovering radarsignals becomes even more difficult in crowded maritime areas where radar signals overlap with each other.To tackle this issue, we propose a new approach to deinterleave radar pulses based on domain knowledge.Our approach deinterleaves and recovers radar pulses in an unknown maritime environment in real-timewithout prior knowledge while providing a thorough interpretation of results The effectiveness it isdemonstrated by simulations where the approach is tested through scenarios with different levels of radardensity and compared to other algorithms. The obtained results show that our approach performs betterthan other algorithms regardless of the number of radar surrounding the Racon