On Secure EKF-enhanced UAV-ISAC Systems

2026-06-02

AI Summary

This work addresses communication security in resource-constrained unmanned aerial vehicle–integrated sensing and communication (UAV-ISAC) systems by proposing a joint optimization framework for transmit beamforming and UAV trajectory design that simultaneously ensures reliable communication for legitimate users and actively jams eavesdroppers. The approach innovatively incorporates the extended Kalman filter (EKF) to jointly predict and track the trajectories of both legitimate and malicious users, enabling coordinated optimization of sensing, communication, and physical-layer security. Accounting for practical constraints—including sensing beamwidth, transmit power, and UAV energy consumption—the resulting non-convex problem is solved via a combination of block coordinate descent, successive convex approximation, and non-convex optimization techniques. Simulation results demonstrate that the proposed scheme significantly enhances secrecy rate, achieves high-quality suboptimal solutions, and outperforms existing benchmark methods.

Abstract

Integrated sensing and communication (ISAC) has emerged as a promising key technology for future wireless networks, enabling the efficient coordination of sensing and communication functions within limited resources. This work investigates a secure ISAC system assisted by an uncrewed aerial vehicle (UAV). By incorporating the extended Kalman filter (EKF), the proposed system is capable of delivering communication services to legitimate users while simultaneously jamming eavesdroppers and performing joint prediction and tracking of the trajectories of both legitimate and illegitimate users. Considering practical constraints such as {sensing beamwidth}, transmit power, and UAV's propulsion energy consumption, the secrecy rate is maximized through the joint design of transmit beamforming and UAV trajectory. To tackle the resulting highly non-convex optimization problem, an efficient iterative algorithm is developed by integrating block coordinate descent, successive convex approximation, and EKF, thereby yielding a high-quality suboptimal solution. Extensive simulation results validate the superior performance of the proposed scheme compared to benchmarks.

Problem

• Secure ISAC
• UAV trajectory
• Secrecy rate
• Eavesdropping
• Integrated sensing and communication

Innovation

• Secure ISAC
• UAV trajectory optimization
• Extended Kalman Filter (EKF)
• Joint beamforming and tracking
• Physical-layer security