Leyva Leonardo, Costa Samuel, Castanheira Daniel, Silva Adão, Gameiro Atílio
Instituto de Telecomunicações (IT), Departamento de Eletrónica, Telecomunicações e Informática (DETI), University of Aveiro, 3810-193 Aveiro, Portugal.
Instituto de Telecomunicações (IT), 3810-193 Aveiro, Portugal.
Sensors (Basel). 2022 Feb 1;22(3):1103. doi: 10.3390/s22031103.
The integrated sensing and communication (ISAC) paradigm is being proposed for 6G as a new feature of the physical layer (PHY), for tackling dual-functional applications, i.e., demanding radio-sensing and communication functions, such as the Internet of Things (IoT) and autonomous driving systems. This work considers the integration of sensing and communications functionalities in a unique platform. To achieve this goal, the use of orthogonal space frequency block codes (SFBC) is proposed. SFBC code orthogonality enables both the separation of communications data streams at a user terminal and the estimation of target parameters. The SFBC enhances the communications link diversity without requiring channel state information knowledge at the transmitter and enable the virtual antenna array concept for enhancing the direction-finding resolution. The use of different SFBCs provides a tradeoff between achieved diversity and sensing resolution. For example, an Alamouti code, applicable for the case with two transmitting antennas, duplicates sensing resolution and achieves a diversity order of two while the use of a Tarokh code, applicable for a scenario with four transmitting antennas, provides a fourfold better resolution and diversity order of four. However, the code rate achieved with the Tarokh code is half of the one achieved with the Alamouti code. Furthermore, the unambiguous range is reduced since the bandwidth is divided to multiplex the different antenna signals. For its simplicity, good performance and reduced integration requirements, the method is promising for future ISAC systems.
作为物理层(PHY)的一项新特性,集成感知与通信(ISAC)范式正被提出来用于6G,以应对双重功能应用,即对无线电感知和通信功能有需求的应用,如物联网(IoT)和自动驾驶系统。这项工作考虑在一个独特的平台上集成感知和通信功能。为实现这一目标,提出了使用正交空频分组码(SFBC)。SFBC码的正交性既能够在用户终端分离通信数据流,又能够估计目标参数。SFBC在不需要发射机知道信道状态信息的情况下增强了通信链路分集,并实现了虚拟天线阵列概念以提高测向分辨率。使用不同的SFBC在实现的分集和感知分辨率之间提供了一种权衡。例如,适用于两个发射天线情况的Alamouti码,使感知分辨率翻倍并实现了二阶分集,而适用于四个发射天线场景的Tarokh码则提供了四倍更好的分辨率和四阶分集。然而,Tarokh码实现的码率是Alamouti码实现码率的一半。此外,由于带宽被划分用于复用不同的天线信号,明确范围减小了。由于其简单性、良好的性能和降低的集成要求,该方法对未来的ISAC系统很有前景。