人工噪声辅助的无人机通感一体化安全波束成形

Artificial Noise Assisted Secure Beamforming for Integrated Sensing and Communication in UAV

摘要

针对无人机通信感知一体化系统中的安全问题,提出一种由人工噪声辅助的安全波束成形方案,从而提升系统的安全性能.首先,在无人机基站仅掌握统计信道状态信息的情形下,最小化潜在窃听者的信噪比,并确保合法用户的通信服务质量,且满足雷达波束图相似度约束.其次,为解决该方案中的非凸优化问题,通过半定松弛技术松弛原问题中的秩约束,并结合参数化重构方法处理分式目标函数,将其转化为可迭代求解的凸半定规划问题,之后采用内点法构造障碍函数,在保证可行性条件下实现高效求解.仿真实验结果表明,该方案相较于无人工噪声的传统方案,在保证合法用户通信服务质量的同时,显著提升了系统的安全性能.

Abstract

Aiming at the security issue of integrated sensing and communication systems in unmanned aerial vehicle, we proposed an artificial noise assisted secure beamforming scheme to enhance the security performance of the system. Firstly, in the case where the unmanned aerial vehicle base station only had statistical channel state information, we minimized the signal-to-noise ratio of a potential eavesdropper, ensured the communication service quality of legitimate users and met the similarity constraint of radar beam pattern. Secondly, in order to solve the non-convex optimization problem in this solution, semidefinite relaxation technique was used to relax the rank constraint in the original problem, and combining with a parametric reformulation method to handle the fractional objective function, it was transformed into an iteratively solvable convex semidefinite programming problem. Subsequently, an interior-point method was used to construct a barrier function, achieving efficient solution under feasible conditions. Simulation experiment results show that, compared with the conventional scheme without artificial noise, the proposed scheme significantly improves the security performance of the system while ensuring the communication service quality of legitimate users.

关键词

人工噪声 / 通信感知一体化 / 安全传输速率 / 无人机 / 统计信道状态信息

Key words

artificial noise / integrated sensing and communication / secure transmission rate / unmanned aerial vehicle / statistical channel state information

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基金资助

国家自然科学基金(62261056)