Integrated Sensing and Secure Communication with XL-MIMO

Abstract

This paper studies extremely large-scale multiple-input multiple-output (XL-MIMO)-empowered integrated sensing and secure communication systems, where both the radar targets and the communication user are located within the near-field region of the transmitter. The radar targets, being untrusted entities, have the potential to intercept the confidential messages intended for the communication user. In this context, we investigate the near-field beam-focusing design, aiming to maximize the achievable secrecy rate for the communication user while satisfying the transmit beampattern gain requirements for the radar targets. We address the corresponding globally optimal non-convex optimization problem by employing a semidefinite relaxation-based two-stage procedure. Additionally, we provide a sub-optimal solution to reduce complexity. Numerical results demonstrate that beam focusing enables the attainment of a positive secrecy rate, even when the radar targets and communication user align along the same angle direction.

Implementation of MIMO Radar-Based Point Cloud Images for Environmental Recognition of Unmanned Vehicles and Its Application

“…Within the system, four RFICs are synchronized with each other using 20 GHz local oscillator (LO) signal and they operate like a single RFIC chip system. Multi-Input Multi-Output (MIMO) is a technology that effectively increases the total number of antennas by introducing a virtual antenna concept [8,9]. The orthogonality of each transmitting signals can be obtained through specific methods such as time division multiplexing and MIMO, which improves angular resolution through an increased antenna aperture with a virtual array [10,11].…”