论文标题
集成感应和延迟对齐调制：性能分析和横向形成优化
Integrated Sensing and Communication with Delay Alignment Modulation: Performance Analysis and Beamforming Optimization
论文作者
论文摘要
最近已提出延迟对齐调制（DAM），以实现可操纵的通道延迟扩展，以实现有效的单或多载波通信。特别是，通过完美的延迟对齐，即使在单载波（SC）传输的情况下，也可以消除符号间干扰（ISI），而无需依赖复杂的通道均衡。大坝的关键思想是延迟预补偿和基于路径的光束形成，因此所有多路径信号组件都可以同时到达接收器并进行建设性地叠加，而不是造成有害的ISI。与经典的正交频分多路复用（OFDM）传输相比，支持大坝的SC通信具有几个吸引人的优势，包括低峰值功率比率（PAPR）和多普勒频移的高公差，这也使雷达感应吸引。因此，在本文中，对大坝进行了研究，以进行集成的感应和通信（ISAC）系统。我们首先研究了无ISI的SC通信和雷达传感的输出信噪比（SNR），然后根据歧义功能（AF）和集成的Sidelobe比率（ISR）来得出基于大坝的传感的闭合形式表达式。此外，我们研究了基于大坝的ISAC的波束形成设计问题，以最大程度地提高通信SNR，同时保证Sensing SNR和ISR的传感性能。最后，我们为ISAC提供了大坝和OFDM之间的性能比较，并且据透露，由于其低PAPR，减少了后卫间隔的开销，并且对多普勒频率转移的公差较高，大坝信号可能会实现更好的沟通和感应性能。提供了模拟结果，以显示DAM对ISAC的巨大潜力。
Delay alignment modulation (DAM) has been recently proposed to enable manipulable channel delay spread for efficient single- or multi-carrier communications. In particular, with perfect delay alignment, inter-symbol interference (ISI) can be eliminated even with single-carrier (SC) transmission, without relying on sophisticated channel equalization. The key ideas of DAM are delay pre-compensation and path-based beamforming, so that all multi-path signal components may arrive at the receiver simultaneously and be superimposed constructively, rather than causing the detrimental ISI. Compared to the classic orthogonal frequency division multiplexing (OFDM) transmission, DAM-enabled SC communication has several appealing advantages, including low peak-to-average-power ratio (PAPR) and high tolerance for Doppler frequency shift, which renders DAM also appealing for radar sensing. Therefore, in this paper, DAM is investigated for integrated sensing and communication (ISAC) systems. We first study the output signal-to-noise ratios (SNRs) for ISI-free SC communication and radar sensing, and then derive the closed-form expressions for DAM-based sensing in terms of the ambiguity function (AF) and integrated sidelobe ratio (ISR). Furthermore, we study the beamforming design problem for DAM-based ISAC to maximize the communication SNR while guaranteeing the sensing performance in terms of the sensing SNR and ISR. Finally, we provide performance comparison between DAM and OFDM for ISAC, and it is revealed that DAM signal may achieve better communication and sensing performance, thanks to its low PAPR, reduced guard interval overhead, as well as higher tolerance for Doppler frequency shift. Simulation results are provided to show the great potential of DAM for ISAC.
