Kavli Affiliate: Feng Wang
| First 5 Authors: Ziqiang CHen, Ziqiang CHen, , ,
| Summary:
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.
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