Passive Target Multi base Perception Based on 6G Cellular Infrastructure - Enhancing Intelligent Management and Resource Utilization in the Industrial and Warehousing Fields

With the advent of Sixth-Generation (6G) wireless communication systems, the use of higher frequency millimeter-wave (mmWave) and terahertz (THz) bands is expected to significantly enhance system capacity and coverage. These high-frequency operations enable large-scale antenna arrays, offering advantages in signal processing, target localization, and detection. Passive sensing, which leverages existing communication signals such as Channel State Information (CSI) for target detection and parameter estimation, has gained attention in 6G research. This study introduces a novel AI-based architecture, CsiSenseNet, designed to process CSI from multiple communication links for high-precision detection and localization of passive targets. Simulation results reveal that the system achieves sub-meter localization accuracy, with detection accuracy exceeding 90% for human-sized targets when using two or more communication links. Larger target sizes and increased link numbers contribute to improved detection performance and reduced localization error. Compared to traditional angle-based methods, CsiSenseNet demonstrates superior accuracy and efficiency, particularly in multi-link scenarios. These findings highlight the potential of 6G-enabled passive sensing in industrial and warehousing applications, enabling smart manufacturing, efficient resource management, and enhanced privacy. Future work will focus on optimizing system performance for diverse indoor environments and complex deployment scenarios.