基于曲率的形状感知柔性相控阵的设计、建模与验证
Design, Modeling, and Validation of Curvature-Based Shape-Aware Flexible Phased Arrays
AI总结：
研究变形的机械柔性相控阵形状感知，通过分析传感器密度、验证物理模型，设计并验证了6GHz八元阵列，能在低曲率半径下恢复波束转向性能，平均重建精度约6%，且该方法不受射频条件限制，无需反馈。
摘要：
变形的机械柔性相控阵的形状信息对于维持其波束方向图至关重要。本文介绍了具有基于曲率形状传感功能的此类阵列的设计、建模和实验验证。分析了大量代表性变形形状下测量噪声中有效变形传感所需的传感器密度；开发并通过实验验证了将测量应变与局部板曲率相关联的物理模型；展示了在贴合和自由悬挂场景中形状感知的6GHz八元阵列的端到端设计，在曲率半径低于3.6cm时恢复波束转向性能的同时平均重建精度约为6%。该系统采用低成本八通道360°数控移相器平台，适用于广泛的智能天线实验。形状从低速率表面测量中恢复，独立于射频条件且无需反馈，使该方法成为一种通用传感模式，可应用于此之外的波束校正。
英文摘要：
In situ knowledge of array geometry enables mechanically flexible phased arrays to recover beam-steering performance under deformation without receiver-side RF feedback. This work presents a comprehensive engineering study of curvature-based shape sensing, combining numerical sampling-density and measurement-noise analysis, physical modeling of sensor response, and experimental shape and RF characterization. A study of 11,000 Bézier curves quantifies reconstruction error versus curvature-sampling density and noise, guiding the selection of nine sensing locations. A physical model relates PCB curvature to strain-gauge output voltage, with predictions compared against calibrated sensor measurements. The sensing system is integrated with an eight-element, 6-GHz flexible array and a low-cost, size-scalable, digitally controlled eight-channel phase-shifting module providing 360° tuning with better than 7-bit effective resolution. Across 12 fixture-conformed shapes, including five previously reported cases, the average reconstruction error is 0.06$λ$. Three additional air-suspended configurations, not prescribed by analytical curves, show an average positional difference of 0.095$λ$ between curvature-based and image-based estimates. Measured radiation patterns demonstrate broadside correction and steering to $\pm$30°. These results provide quantitative engineering guidance for designing and characterizing curvature-based shape-aware flexible phased arrays.
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。
