近场定位与感知的Ziv-Zakai界
Ziv-Zakai Bound for Near-Field Localization and Sensing
AI总结：
本文研究了大尺寸天线阵列下近场定位与感知的Ziv-Zakai界，探讨了其在低信噪比下的性能及近场感知的限制与机遇。
摘要：
现代无线系统中载波频率的增加和天线阵列物理尺寸的增长正在推动对近场条件下定位和感知的再兴趣。本文分析了在大尺寸天线阵列下近场定位和感知的Ziv-Zakai界（ZZB），相较于传统界如Cramér-Rao界（CRB），它提供了更精确的估计精度刻画，特别是在低信噪比或阈值区域。利用球面波前和阵列几何结构在信号模型中，我们评估了ZZB对距离和角度估计的性能，研究了精度对关键信号和系统参数如阵列几何结构、波长和目标位置的依赖性。我们的分析突显了ZZB的过渡行为，并强调了近场感知准确性的基本限制和机遇。
英文摘要：
The increasing carrier frequencies and growing physical dimensions of antenna arrays in modern wireless systems are driving renewed interest in localization and sensing under near-field conditions. In this paper, we analyze the Ziv-Zakai Bound (ZZB) for near-field localization and sensing operated with large antenna arrays, which offers a tighter characterization of estimation accuracy compared to traditional bounds such as the Cramér-Rao Bound (CRB), especially in low signal-to-noise ratio or threshold regions. Leveraging spherical wavefront and array geometry in the signal model, we evaluate the ZZB for distance and angle estimation, investigating the dependence of the accuracy on key signal and system parameters such as array geometry, wavelength, and target position. Our analysis highlights the transition behavior of the ZZB and underscores the fundamental limitations and opportunities for accurate near-field sensing.
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。
