基于课程微调CNN-Transformer的Sub-6 GHz空中AMC
Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers
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中文总结 AI 辅助
本文通过课程微调混合CNN-Transformer模型，在4 GHz真实空中链路下评估AMC性能，报告了91.8%-93.7%的匹配距离准确率，并诚实分析了微调顺序与天线对准的混淆效应。
中文摘要 AI 辅助
自动调制分类（AMC）模型通常在合成数据或信道电缆连接的数据上进行训练和验证，这留下了在真实自由空间链路引入路径损耗和天线指向误差时模型表现如何的未解问题。我们报告了一项针对混合CNN-Transformer AMC模型的课程微调研究。该模型所基于的通用全32类数据集完全在915 MHz频率下构建，通过受控的、时钟/PPS同步的MIMO扩展电缆链路（而非空间复用传输）获取；所有后续的自由空间真实硬件实验——包括顺序微调课程、匹配距离评估以及报告的每一个空中准确率数据——均在4 GHz频率下进行，跨越五个定向天线距离（25、35、50、70、75厘米），并采用固定的发射/接收增益。其中三个距离使用近理想的天线对准（约99%），两个距离故意引入部分失准（约85%），并在课程中最后进行微调。我们报告了匹配距离的测试准确率（在所有五个4 GHz条件下为91.8%至93.7%）以及基于射频理论的混淆矩阵分析，并如实说明我们的顺序微调顺序将累积链路适应与天线对准混淆，而非夸大数据所能支持的内容。
英文摘要
Automatic modulation classification (AMC) models are frequently trained and validated on synthetic or channel-cabled data, leaving open the question of how they behave once path loss and antenna pointing error are introduced by a genuine free-space link. We report a curriculum fine-tuning study of a hybrid CNN-Transformer AMC model. The general-purpose, all-32-class dataset underlying the model was built entirely at 915 MHz, on a controlled, clock/PPS-synchronized MIMO-expansion-cable link (not spatial-multiplexing transmission); all subsequent free-space, real-hardware experimentation - the sequential fine-tuning curriculum, matched-distance evaluation, and every reported over-the-air accuracy figure - was carried out at 4 GHz, across five directional-antenna distances (25, 35, 50, 70, 75 cm) under fixed TX/RX gain. Three distances used near-ideal antenna alignment (~99%) and two used a deliberately introduced partial misalignment (~85%), fine-tuned last in the curriculum. We report matched-distance test accuracy (91.8-93.7% across all five 4 GHz conditions) and confusion-matrix analysis grounded in RF theory, and report honestly where our sequential fine-tuning order confounds cumulative link adaptation with antenna alignment, rather than overstating what the data can support.
发表机构
- Ankara Yildirim Beyazit University（安卡拉耶尔德勒姆贝亚齐特大学）
机构由 AI 辅助整理，请以论文原文为准。
