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arXiv 2602.21162cs.ITmath.IT
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相感知定位在捏合天线系统中的应用:CRLB分析与最大似然估计

Phase-Aware Localization in Pinching Antenna Systems: CRLB Analysis and ML Estimation

Hunan Institute of Engineering(湖南工程学院);Donghua University(东华大学);Laval University(拉瓦尔大学);University of Saskatchewan(萨斯喀彻温大学);Henan Polytechnic University(河南理工大学);Sun Yat-sen University(中山大学);School of Computer Science and Statistics, Trinity College Dublin(都柏林三一学院计算机科学与统计学院)

Hao Feng, Ebrahim Bedeer, Ming Zeng, Xingwang Li, Shimin Gong, Quoc-Viet Pham

AI总结:

本文研究了捏合天线系统中用户定位问题,通过联合利用接收信号幅度和相位信息,推导出CRLB和位置误差下限,并提出最大似然估计器,实验证明其在不同噪声条件下具有更低的定位误差。

摘要:

捏合天线系统(PASS)已成为高频无线通信有前景的架构。本文研究了PASS中用户定位问题,通过联合利用接收信号幅度和相位信息,建立了复基带信号模型以捕捉自由空间路径损耗、波导衰减和用户与每个捏合天线之间的距离依赖性相位旋转。基于此模型,推导出Fisher信息矩阵和闭式Cramer-Rao下界和位置误差下界。推导分析表明,相位诱导的Fisher信息随用户-天线距离的四次方衰减,而幅度诱导的信息随六次方衰减,解释了相感知定位在典型PASS部署中的基本优势。然后开发并实现了通过粗网格搜索和Levenberg-Marquardt细化相结合的两阶段最大似然估计器。数值结果表明,所提估计器在不同噪声功率、捏合天线数量和用户位置下均能实现低定位误差,并优于所考虑的基准。在所考虑的场景中,所提方法在评估的服务区域内达到亚米级精度,并比幅度-only基准产生显著更低的定位误差。

英文摘要:

Pinching antenna systems (PASS) have emerged as a promising architecture for high-frequency wireless communications. In this letter, we investigate user localization in PASS by jointly exploiting the received signal amplitude and phase information. A complex baseband signal model is formulated to capture free-space path loss, waveguide attenuation, and distance-dependent phase rotation between the user and each pinching antenna. Based on this model, we derive the Fisher information matrix and closed-form Cramer-Rao lower bound and position error bound. The derived analysis reveals that the phase-induced Fisher information decays with the fourth power of the user-antenna distance, whereas the amplitude-induced information decays with the sixth power, explaining the fundamental advantage of phase-aware localization in typical PASS deployments. A maximum likelihood estimator is then developed and implemented through a two-stage procedure combining coarse grid search and Levenberg-Marquardt refinement. Numerical results show that the proposed estimator achieves low positioning error and generally outperforms the considered benchmarks under different noise powers, numbers of pinching antennas, and user locations. In the considered scenario, the proposed method achieves sub-meter-level accuracy over the evaluated service area and yields substantially lower positioning error than the amplitude-only benchmark.

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。

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