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Poster De Conférence Année : 2023

An Autonomous Approach to Deinterleave and Recover Radar Pulse Sequences in an Unknown Maritime Environment

Résumé

In a high-density maritime environment, the recovery of radar pulse sequences presents a challenge to transponders because of interleaved pulses. Moreover, due to a few manufacturers of civil radars, the lack of diversity in signal signatures makes the task harder. In this paper, we present a new approach to deinterleave radar pulse sequences without specific knowledge. Our proposed solution, based on a three-step approach, enables transponders to recognize their environment and interact with emitters more effectively without any training step. The effectiveness of this approach is demonstrated through simulations. Obtained results show that predicted clusters have a homogeneity score higher than 98%, a completeness score higher than 92%, and a Rand index higher than 97%. Our solution can deinterleave and recover radar pulse sequences in an unknown maritime environment in real-time without prior knowledge, while providing a thorough interpretation of results.
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Dates et versions

hal-04185150 , version 1 (13-11-2023)

Identifiants

  • HAL Id : hal-04185150 , version 1

Citer

Guillaume Martin, Salah Eddine Bouzid, Jean-Luc Alanic, Pascal Charge. An Autonomous Approach to Deinterleave and Recover Radar Pulse Sequences in an Unknown Maritime Environment. International Radar Conference, Nov 2023, Sydney, Australia. Paper ID: 279, 2023. ⟨hal-04185150⟩
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