标题： 6G中集成感知与通信的双通道估计新方法 显示英文标题

标题： Novel Approach to Dual-Channel Estimation in Integrated Sensing and Communications for 6G

摘要： 集成感知与通信（ISAC）设计对于6G至关重要，并将环境数据感知与通信协调统一，强调了理解和建模这些要素的必要性。 本文深入研究了ISAC的双通道模型，采用信道提取技术来验证和提高准确性。 聚焦于毫米波（mmWave）雷达，它探索了从单基地测量中提取双基地感知信道以及后续的通信信道估计。 所提出的方法包括干扰提取、模块和相位相关性分析、线性调频聚类和自动杂波减少。 在一个具有受控场景的消声室中进行全面设置，评估了所提出的技术，通过均方根时延扩展（RMS DS）、功率时延轮廓（PDP）和到达角（AoA）分析证明了成功的信道提取和验证。 与射线追踪（RT）仿真比较确认了所提出方法的有效性，为未来网络中完全集成的感知与通信提出了创新性的进展。 显示英文摘要

摘要： Integrated Sensing and Communication (ISAC) design is crucial for 6G and harmonizes environmental data sensing with communication, emphasizing the need to understand and model these elements. This paper delves into dual-channel models for ISAC, employing channel extraction techniques to validate and enhance accuracy. Focusing on millimeter wave (mmWave) radars, it explores the extraction of the bistatic sensing channel from monostatic measurements and subsequent communication channel estimation. The proposed methods involve interference extraction, module and phase correlation analyses, chirp clustering, and auto-clutter reduction. A comprehensive set-up in an anechoic chamber with controlled scenarios evaluates the proposed techniques, demonstrating successful channel extraction and validation through Root Mean Square Delay Spread (RMS DS), Power Delay Profile (PDP), and Angle of Arrival (AoA) analysis. Comparison with Ray-Tracing (RT) simulations confirms the effectiveness of the proposed approach, presenting an innovative stride towards fully integrated sensing and communication in future networks.