Toward Adaptive Tracking and Communication via an Airborne Maneuverable Bi-Static ISAC System
<|reference_start|>Toward Adaptive Tracking and Communication via an Airborne Maneuverable Bi-Static ISAC System: 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.<|reference_end|>
@article{wei2024toward,
    title={Toward Adaptive Tracking and Communication via an Airborne Maneuverable
  Bi-Static ISAC System},
    author={Mingliang Wei, Ruoguang Li, Li Wang, Lianming Xu, and Zhu Han},
    journal={arXiv preprint arXiv:2410.02796},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.02796},
    primaryClass={eess.SP cs.ET cs.IT cs.NI math.IT}
}