Robust Beamforming Design for Secure Near-Field ISAC Systems

• Published in: IEEE wireless communications letters Vol. 14; no. 10; pp. 3089 - 3093
• Main Authors: Chen, Ziqiang, Wang, Feng, Han, Guojun, Wang, Xin, Lau, Vincent K. N.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Array signal processing; Beamforming; Constraints; Copper; Eavesdropping; Information leakage; Integrated sensing and communication; Interference; Linear antenna arrays; Linear matrix inequalities; Near fields; Near-field integrated sensing and communication; robust design; Robustness (mathematics); S-Procedure; secure communication; Signal to noise ratio; Training; Uncertainty; Vectors
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2025.3586249

This letter investigates the robust beamforming design for a near-field secure integrated sensing and communication (ISAC) system with multiple communication users (CUs) and targets, as well as multiple eavesdroppers. Taking into account the channel uncertainty constraints, we maximize the minimum sensing beampattern gain for targets, subject to the minimum signal-to-interference-plus-noise ratio (SINR) constraint for each CU and the maximum SINR constraint for each eavesdropper, as well as the ISAC transmit power constraint. The formulated design problem is non-convex. As a low-complexity suboptimal solution, we first apply the S-Procedure to convert semi-infinite channel uncertainty constraints into linear matrix inequalities (LMIs) and then use the state-of-the-art sequential rank-one constraint relaxation (SROCR) method to address the rank-one constraints. The numerical results show that the proposed ISAC beamforming design scheme outperforms the existing semidefinite relaxation (SDR) and other baseline schemes, and it significantly enhances security and robustness for near-field ISAC systems.