AI 中文总结
本文提出基于收缩天线系统（PASS）的用户侧导航框架，开发LWF-PAP算法推导PA位置等，制定WLS-PAN算法实现最小方差无偏估计，定义PA-PDOP指标，仿真表明该框架能实现厘米级定位精度，验证了其有效性和鲁棒性。
AI 中文摘要
收缩天线系统（PASS）能够通过沿波导灵活重新定位收缩天线（PA）来动态重新配置无线信道，以建立短程视距链路。本文提出了一种用于PASS的用户侧导航框架，移动用户仅使用下行广播信号就能确定自身位置，无需PA位置的先验知识。首先，开发了基于兰伯特W函数的PA定位和伪距估计（LWF-PAP）算法，推导了沿波导的PA位置和PA-用户伪距的闭式表达式。其次，制定了基于加权最小二乘法的PASS导航（WLS-PAN）算法，将基于PASS的非线性导航方程转化为闭式线性系统并推导了最优权重矩阵，实现最小方差无偏估计。此外，还定义了PA导出的精度几何因子（PA-PDOP）指标来表征理论精度界限。仿真结果表明，在断点距离内，PA和用户均实现了厘米级定位精度。均匀的PA部署和PA数量的适度增加有效提高了导航精度，验证了所提框架用于分布式实时用户侧自导航的有效性和鲁棒性。
英文摘要
Pinching-antenna systems (PASS) are capable of dynamically reconfiguring wireless channels by flexibly repositioning pinching antennas (PAs) along the waveguides to establish short-range line-of-sight links. In this paper, a user-side navigation framework for PASS is proposed, where mobile users determine their own positions using only downlink broadcast signals without any prior knowledge of the PA positions. First, a Lambert W function-based PA positioning and pseudorange estimation (LWF-PAP) algorithm is developed, in which the closed-form expressions for both the PA positions along the waveguide and the PA-user pseudoranges are derived. Second, a weighted least squares-based PASS navigation (WLS-PAN) algorithm is formulated, where the nonlinear PASS-based navigation equations are transformed into a closed-form linear system, and the optimal weight matrix is derived, achieving minimum-variance unbiased estimation. Third, the PA-derived position dilution of precision (PA-PDOP) metric is further defined to characterize the theoretical accuracy bound. Simulation results demonstrate that centimeter-level positioning accuracy is achieved for both PAs and users within the breakpoint distance. It is also shown that uniform PA deployment and a moderate increase in the number of PAs effectively improve navigation accuracy, thereby validating the effectiveness and robustness of the proposed framework for distributed real-time user-side self-navigation.
Comments13 pages, 11 figures
