利用多普勒效应实现信道图谱构建（Channel Charting）
Leveraging the Doppler Effect for Channel Charting
AI总结：
针对现有信道图谱构建方法对基站相位、时间同步或角域信息要求过高的问题，提出基于多普勒效应的损失函数，仅需频率同步，经室内数据集验证仅用4根天线即可实现可行的全局定位且性能更优。
摘要：
信道图谱构建（Channel Charting）是一种降维技术，可通过信道状态信息中存在的相似性关系重建无线电环境地图。信道图谱中的距离通常基于某种不相似性度量计算，这类度量可从角域信息、信道冲激响应、测得的相位差或直接从时间戳推导得出。使用这类信息会隐含地对基站天线间的相位和时间同步水平做出强假设，或假设发射机速度近似恒定。然而，许多实际系统可能无法提供相位和时间同步，单天线基站甚至可能不具备角域信息。我们提出了一种基于多普勒效应的信道图谱构建损失函数，该函数仅要求空间分布的基站天线间实现频率同步，这是一个弱得多的假设。我们使用在室内环境中测得的数据集证明，所提方法仅需4根基站天线就具备实际可行性，其生成的信道图谱适用于全局坐标系下的定位，且在给定限制条件下性能优于其他现有最优方法。
英文摘要：
Channel Charting is a dimensionality reduction technique that reconstructs a map of the radio environment from similarity relationships found in channel state information. Distances in the channel chart are often computed based on some dissimilarity metric, which can be derived from angular-domain information, channel impulse responses, measured phase differences or simply timestamps. Using such information implicitly makes strong assumptions about the level of phase and time synchronization between base station antennas or assumes approximately constant transmitter velocity. Many practical systems, however, may not provide phase and time synchronization and single-antenna base stations may not even have angular-domain information. We propose a Doppler effect-based loss function for Channel Charting that only requires frequency synchronization between spatially distributed base station antennas, which is a much weaker assumption. We use a dataset measured in an indoor environment to demonstrate that the proposed method is practically feasible with just four base station antennas, that it produces a channel chart that is suitable for localization in the global coordinate frame and that it outperforms other state-of-the-art methods under the given limitations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
