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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