Toward Adaptive Tracking and Communication via an Airborne Maneuverable Bi-Static ISAC System
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866909335284613120 |
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| author | Wei, Mingliang Li, Ruoguang Wang, Li Xu, Lianming Han, Zhu |
| author_facet | Wei, Mingliang Li, Ruoguang Wang, Li Xu, Lianming Han, Zhu |
| contents | In this letter, we propose an airborne maneuverable bi-static integrated sensing and communication system where both the transmitter and receiver are unmanned aerial vehicles. By timely forming a dynamic bi-static range based on the motion information of the target, such a system can provide an adaptive two dimensional tracking and communication services. Towards this end, a trajectory optimization problem for both transmits and receive UAV is formulated to achieve high-accurate motion state estimation by minimizing the time-variant Cramer Rao bound, subject to the sufficient communication signal-to-noise ratio to maintain communication channel prediction error. Then we develop an efficient approach based on the successive convex approximation technique and the S-procedure to address the problem. Numerical results demonstrate that our proposed airborne maneuverable bi-static ISAC system is able to obtain higher tracking accuracy compared with the static or semi-dynamic ISAC system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_02796 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Toward Adaptive Tracking and Communication via an Airborne Maneuverable Bi-Static ISAC System Wei, Mingliang Li, Ruoguang Wang, Li Xu, Lianming Han, Zhu Signal Processing Emerging Technologies Information Theory Networking and Internet Architecture In this letter, we propose an airborne maneuverable bi-static integrated sensing and communication system where both the transmitter and receiver are unmanned aerial vehicles. By timely forming a dynamic bi-static range based on the motion information of the target, such a system can provide an adaptive two dimensional tracking and communication services. Towards this end, a trajectory optimization problem for both transmits and receive UAV is formulated to achieve high-accurate motion state estimation by minimizing the time-variant Cramer Rao bound, subject to the sufficient communication signal-to-noise ratio to maintain communication channel prediction error. Then we develop an efficient approach based on the successive convex approximation technique and the S-procedure to address the problem. Numerical results demonstrate that our proposed airborne maneuverable bi-static ISAC system is able to obtain higher tracking accuracy compared with the static or semi-dynamic ISAC system. |
| title | Toward Adaptive Tracking and Communication via an Airborne Maneuverable Bi-Static ISAC System |
| topic | Signal Processing Emerging Technologies Information Theory Networking and Internet Architecture |
| url | https://arxiv.org/abs/2410.02796 |