AI 中文总结
针对安全关键的ISAC场景，提出基于人工噪声辅助索引欺骗的OFDM-IM框架，将人工噪声注入非活动子载波，通过预编码器在合法接收器处消除噪声并欺骗目标索引检测器，同时兼顾感知，优化问题最大化目标发射功率，相比经典OFDM提高了目标发射功率。
AI 中文摘要
我们提出了一种用于集成感知与通信（ISAC）的基于人工噪声（AN）辅助的安全正交频分复用与索引调制（OFDM-IM）框架。考虑一种安全关键场景，即感知目标也是潜在窃听者。该方法不是抑制朝向目标的信号功率，而是将AN注入到非活动的OFDM-IM子载波中。预编码器在合法接收器处使AN在空间上为零，同时将活动子载波能量水平投射向目标以欺骗其索引检测器。由于单基地ISAC发射机知道AN波形，相同的非活动子载波也有助于感知。我们将此场景表述为一个优化问题，在为合法接收器提供安全通信的同时最大化朝向目标的发射功率。数值结果表明，与经典OFDM相比，该方案提高了目标发射功率。
英文摘要
We propose an artificial noise (AN)-aided, secure OFDM with index modulation (OFDM-IM) framework for integrated sensing and communication (ISAC). Consider a security-critical scenario, where the sensing target is also a potential eavesdropper. Instead of suppressing the signal power toward the target, the proposed method injects AN into inactive OFDM-IM subcarriers. The precoder spatially nulls the AN at the legitimate receiver, while projecting active-subcarrier energy levels toward the target to deceive its index detector. Since the monostatic ISAC transmitter knows the AN waveform, the same inactive subcarriers also contribute to sensing. We formulate this scenario as an optimization problem that maximizes transmit power toward the target while providing secure communication with a legitimate receiver. Numerical results show that the proposed scheme improves targeted transmit power compared to classical OFDM.
Comments5 pages, 4 figures, VTC 2027
