Cooperative Sensing for ISAC: Challenges, System Design, Beam Management, and Performance Validation

作者：Guangyi Liu, Rongyan Xi, Xiaoqian Wang, Lincong Han, Xin Gui, Jing Jin, Jing Dong, Ning Wei, Hongjun He, Liang Xia, Jianjun Liu, Qixing Wang, Jiangzhou Wang, Xiaoyun Wang · 发表于：IEEE Journal on Selected Areas in Communications · 年份：2025 · DOI：10.1109/jsac.2025.3611941 · 被引用次数：7 · 研究领域：Indoor and Outdoor Localization Technologies、Advanced Fiber Optic Sensors、Acoustic Wave Resonator Technologies

Integrated sensing and communication (ISAC) is a key enabling technology for sixth-generation (6G) mobile communication systems, achieving seamless integration of communication and sensing functions. Cooperative sensing, where the transmitter and receiver are not co-located, serves as a key enabler for ISAC, significantly enhancing the sensing performance while reducing the implementation complexity of the receiver. However, practical deployments of cooperative sensing still face numerous challenges, such as synchronization and interference. This paper presents a set of advanced beam management methods specifically designed for the cooperative sensing system, offering a comprehensive framework to address these challenges. Specifically, we first analyze the strong/weak path effect (SWPE), a critical phenomenon caused by diverse target reflectivities and propagation paths, which severely degrades both synchronization accuracy and target detection. To counteract this, we propose an adaptive path power allocation method compatible with both all-digital and hybrid beamforming architectures. This method intelligently allocates power across different paths to mitigate the SWPE, thereby ensuring reliable synchronization via the direct path while enhancing the detectability of weak targets. As a result, the proposed method improves the target detection probability by over 30%. Furthermore, an adaptive interference suppression method is designed to reduce interference while maintaining...