TUTCRIS - Tampereen teknillinen yliopisto


Exploiting the Momentary Dependence of Radar Observations for Non-Cooperative Target Recognition



OtsikkoFUSION 2019 - 22nd International Conference on Information Fusion
ISBN (elektroninen)9780996452786
TilaJulkaistu - 1 heinäkuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Information Fusion - Ottawa, Kanada
Kesto: 2 heinäkuuta 20195 heinäkuuta 2019
Konferenssinumero: 22nd


ConferenceInternational Conference on Information Fusion


Multiple radar sensors can be used in collaboration to detect targets in an area of surveillance. In this paper, we consider a case, in which a target is detected by a network of radars producing multiple observations of the radar signature of the target during a short time window. Given that this time window is sufficiently narrow, the observations have a dependence between them momentarily related to the change in the orientation of the target. We propose the fusion of these interdependent observations to aid target identification by forming a joint multi-dimensional histogram of the radar cross section (RCS). In addition, we investigate the criteria for windowing the observations to ensure adequate interdependence. We present a case study to demonstrate the ability of the proposed approach to distinguish between different targets using the measured RCS collected by a multi-radar surveillance system. Based on the experiment, we analyze the criteria for the dynamic windowing and discuss the computational requirements of the proposed concept.

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