Toward Adaptive Tracking and Communication via an Airborne Maneuverable Bi-Static ISAC System

TL;DR

Numerical results demonstrate that the proposed airborne maneuverable bi-static ISAC system is able to obtain higher tracking accuracy compared with the static or semi-dynamic ISAC system.

Abstract

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.

Figures (5)

• Figure 1: Airborne maneuverable bi-static ISAC system.
• Figure 2: Convergence performance of the proposed algorithm.
• Figure 3: Trajectories of UAVs with the proposed system under different $\gamma_c$.
• Figure 4: Trajectory of UAV-1 when UAV-2 is fixed at different locations. ($\mathbf{q}_2^{f_1} = [180\text{m},370 \text{m}]^T$, $\mathbf{q}_2^{f_2}= [240\text{m},450\text{m}]^T$, $\gamma_c$=25 dB)
• Figure 5: CRB and communication SNR versus time slot with different motion state of UAV-2. ($\gamma_c$=25 dB)