Xu, Jing ; Wang, Xiangrong ; Qiao, Xingshuai ; Zoubir, Abdelhak M. (2023)
Sparse Array Design for Joint Communication Radar System via Antenna Selection.
16th International Symposium on Signals, Circuits and Systems (ISSCS2023). Iasi, Romania (13.-14.07.2023)
doi: 10.1109/ISSCS58449.2023.10190916
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
This work investigates the design of sparse transmit arrays via antenna selection for joint communication radar (JCR) systems. Antenna selection is performed in terms of optimizing the ambiguity function of the transmit signal for radar detection and guaranteeing the communication quality of service. The optimization problem is formulated with respect to a boolean vector, that is used to denote the antenna selection directly without any approximation. To address the non-convex combinational optimization problem, zero-forcing beamforming is applied, and subsequently an alternative optimization method with a genetic algorithm incorporated is proposed. Simulation results validate the superiority of the proposed JCR system with the sparse transmit array and demonstrate its better performance compared with other sparse array design.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Xu, Jing ; Wang, Xiangrong ; Qiao, Xingshuai ; Zoubir, Abdelhak M. |
| Art des Eintrags: | Bibliographie |
| Titel: | Sparse Array Design for Joint Communication Radar System via Antenna Selection |
| Sprache: | Englisch |
| Publikationsjahr: | 28 Juli 2023 |
| Ort: | Piscataway, NY |
| Verlag: | IEEE |
| Buchtitel: | International Symposium on Signals, Circuits and Systems (ISSCS) : 13-14 July 2023 |
| Veranstaltungstitel: | 16th International Symposium on Signals, Circuits and Systems (ISSCS2023) |
| Veranstaltungsort: | Iasi, Romania |
| Veranstaltungsdatum: | 13.-14.07.2023 |
| DOI: | 10.1109/ISSCS58449.2023.10190916 |
| Kurzbeschreibung (Abstract): | This work investigates the design of sparse transmit arrays via antenna selection for joint communication radar (JCR) systems. Antenna selection is performed in terms of optimizing the ambiguity function of the transmit signal for radar detection and guaranteeing the communication quality of service. The optimization problem is formulated with respect to a boolean vector, that is used to denote the antenna selection directly without any approximation. To address the non-convex combinational optimization problem, zero-forcing beamforming is applied, and subsequently an alternative optimization method with a genetic algorithm incorporated is proposed. Simulation results validate the superiority of the proposed JCR system with the sparse transmit array and demonstrate its better performance compared with other sparse array design. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung |
| Hinterlegungsdatum: | 15 Apr 2024 07:42 |
| Letzte Änderung: | 28 Aug 2024 14:25 |
| PPN: | 52093671X |
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