Joint Transceiver Design for RIS Enhanced Dual-Functional Radar-Communication with Movable Antenna

TL;DR

This paper proposes a joint transceiver design for RIS-enhanced dual-functional radar-communication systems using movable antennas, optimizing multiple parameters to improve radar SINR and communication quality.

Contribution

It introduces a novel optimization framework for joint transceiver design in RIS-assisted DFRC systems with movable antennas, addressing both radar and communication performance.

Findings

Significant improvement in radar SINR achieved.

Effective balance between radar and communication performance.

Outperforms existing benchmark schemes.

Abstract

Movable antennas (MAs) have shown significant potential in enhancing the performance of dual-functional radar-communication (DFRC) systems. In this paper, we investigate the MA-based transceiver design for DFRC systems, where a reconfigurable intelligent surface (RIS) is employed to enhance the communication quality in dead zones. To enhance the radar sensing performance, we formulate an optimization problem to maximize the radar signal-to-interference-plus-noise ratio (SINR) by jointly optimizing the beamforming vectors, receiving filter, antenna positions, and RIS reflecting coefficients. To tackle this challenging problem, we develop a fractional programming-based optimization framework, incorporating block coordinate descent (BCD), successive convex approximation (SCA), and penalty techniques. Simulation results demonstrate that the proposed method can significantly improve the radar SINR and achieve a satisfactory balance between the radar and communication performance compared with existing benchmark schemes.