Miao Qilong, Shi Weimin, Xie Chenfei, Gao Yong, Chen Lu
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
Sensors (Basel). 2024 Jun 25;24(13):4129. doi: 10.3390/s24134129.
Next-generation communication systems demand the integration of sensing, communication, and power transfer (PT) capabilities, requiring high spectral efficiency, energy efficiency, and low cost while also necessitating robustness in high-speed scenarios. Integrated sensing and communication systems (ISACSs) exhibit the ability to simultaneously perform communication and sensing tasks using a single RF signal, while simultaneous wireless information and power transfer (SWIPT) systems can handle simultaneous information and energy transmission, and orthogonal time frequency space (OTFS) signals are adept at handling high Doppler scenarios. Combining the advantages of these three technologies, a novel cyclic prefix (CP) OTFS-based integrated simultaneous wireless sensing, communication, and power transfer system (ISWSCPTS) framework is proposed in this work. Within the ISWSCPTS, the CP-OTFS matched filter (MF)-based target detection and parameter estimation (MF-TDaPE) algorithm is proposed to endow the system with sensing capabilities. To enhance the system's sensing capability, a waveform design algorithm based on CP-OTFS ambiguity function shaping (AFS) is proposed, which is solved by an iterative method. Furthermore, to maximize the system's sensing performance under communication and PT quality of service (QoS) constraints, a semidefinite relaxation (SDR) beamforming design (SDR-BD) algorithm is proposed, which is solved using through the SDR technique. The simulation results demonstrate that the ISWSCPTS exhibits stronger parameter estimation performance in high-speed scenarios compared to orthogonal frequency division multiplexing (OFDM), the waveform designed by CP-OTFS AFS demonstrates superior interference resilience, and the beamforming designed by SDR-BD strikes a balance in the overall performance of the ISWSCPTS.
下一代通信系统需要集成传感、通信和功率传输（PT）功能，要求具备高光谱效率、能源效率和低成本，同时还需要在高速场景下具备鲁棒性。集成传感与通信系统（ISACS）具有使用单个射频信号同时执行通信和传感任务的能力，而同时无线信息与功率传输（SWIPT）系统可以处理同时进行的信息和能量传输，并且正交时间频率空间（OTFS）信号擅长处理高多普勒场景。结合这三种技术的优点，本文提出了一种基于循环前缀（CP）-OTFS的新型集成同时无线传感、通信和功率传输系统（ISWSCPTS）框架。在ISWSCPTS中，提出了基于CP-OTFS匹配滤波器（MF）的目标检测和参数估计（MF-TDaPE）算法，以使系统具备传感能力。为了增强系统的传感能力，提出了一种基于CP-OTFS模糊函数整形（AFS）的波形设计算法，该算法通过迭代方法求解。此外，为了在通信和PT服务质量（QoS）约束下最大化系统的传感性能，提出了一种半定松弛（SDR）波束成形设计（SDR-BD）算法，该算法通过SDR技术求解。仿真结果表明，与正交频分复用（OFDM）相比，ISWSCPTS在高速场景下具有更强的参数估计性能，由CP-OTFS AFS设计的波形具有卓越的抗干扰能力，并且由SDR-BD设计的波束成形在ISWSCPTS的整体性能中取得了平衡。
