Modelling Micro-Doppler Signature of Drone Propellers in Distributed ISAC
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866915480538710016 |
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| author | Costa, Heraldo Cesar Alves Myint, Saw James Andrich, Carsten Giehl, Sebastian W. Schneider, Christian Thomä, Reiner S. |
| author_facet | Costa, Heraldo Cesar Alves Myint, Saw James Andrich, Carsten Giehl, Sebastian W. Schneider, Christian Thomä, Reiner S. |
| contents | Integrated Sensing and Communication (ISAC) comprises detection and analysis of non-cooperative targets by exploiting the resources of the mobile radio system. In this context, micro-Doppler is of great importance for target classification, in order to distinguish objects with local movements. For developing algorithms for target classification, it is necessary to have a large amount of target signatures. Aiming to generate these data, this paper proposes a mathematical model for the micro-Doppler of drone rotating propellers, and validate the proposed model by comparing it to measured micro-Doppler. Results show that the proposed mathematical model can generate micro-Doppler data very similar to those from measurement data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_14287 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Modelling Micro-Doppler Signature of Drone Propellers in Distributed ISAC Costa, Heraldo Cesar Alves Myint, Saw James Andrich, Carsten Giehl, Sebastian W. Schneider, Christian Thomä, Reiner S. Signal Processing Integrated Sensing and Communication (ISAC) comprises detection and analysis of non-cooperative targets by exploiting the resources of the mobile radio system. In this context, micro-Doppler is of great importance for target classification, in order to distinguish objects with local movements. For developing algorithms for target classification, it is necessary to have a large amount of target signatures. Aiming to generate these data, this paper proposes a mathematical model for the micro-Doppler of drone rotating propellers, and validate the proposed model by comparing it to measured micro-Doppler. Results show that the proposed mathematical model can generate micro-Doppler data very similar to those from measurement data. |
| title | Modelling Micro-Doppler Signature of Drone Propellers in Distributed ISAC |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2401.14287 |