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

TL;DR

This paper introduces an airborne maneuverable bi-static ISAC system with UAV-based transmitters and receivers, enabling adaptive 2D tracking and communication through optimized trajectories and dynamic range formation.

Contribution

It formulates a trajectory optimization problem for UAVs to enhance tracking accuracy and communication reliability, using a novel successive convex approximation approach.

Findings

Achieves higher tracking accuracy than static or semi-dynamic systems.

Demonstrates effective adaptive tracking and communication performance.

Validates the approach through numerical simulations.

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.