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Tracking and detecting highs maneuvering weak targets

Naima Amrouche 1 Ali Khenchaf 1 Daoud Berkani 2
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Modern military targets as aircraft are able to perform high maneuvers due to their complex design. This ability of maneuvers includes sudden changes in acceleration and high-G turns that are not achievable from traditional military targets. Moreover, recent military targets generally have a low radar cross-section or low signal-to-noise ratio (SNR) profile, which makes the detection and tracking of those maneuvering targets a complicated dynamic state estimation problem. In this case, the track-before-detect filter (TBDF) that uses unthresholded measurements is considered as an effective method for tracking and detecting a single maneuvering target under low SNR conditions. Nevertheless, the performance of the algorithm will be affected by severe loss because of the mismatching of target model during maneuver. To resolve the target maneuvers, we propose an application of particle filtering, which depends on TBD. We employ the constant acceleration model and coordinate turn model. Our simulation results show that the detection and tracking of maneuvering target performance of TBDF has been improved using the proposed algorithm.
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Soumis le : mardi 4 septembre 2018 - 11:12:39
Dernière modification le : mercredi 24 juin 2020 - 16:19:52



Naima Amrouche, Ali Khenchaf, Daoud Berkani. Tracking and detecting highs maneuvering weak targets. Journal of applied remote sensing, Bellingham, WA : SPIE, 2018, 12 (3), pp.035001. ⟨10.1117/1.JRS.12.035001⟩. ⟨hal-01867294⟩



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