标题： 温度鲁棒的毫米波FMCW雷达自适应内部校准 显示英文标题

标题： Adaptive Internal Calibration for Temperature-Robust mmWave FMCW Radars

摘要： 我们提出了一种新颖的内部校准框架，用于毫米波（mmWave）调频连续波（FMCW）雷达，以确保在内部温度变化下的稳健性能，适用于密集无线网络中的部署。 我们的方法减轻了温度引起的雷达硬件漂移的影响，提高了可靠性。 我们提出了一种温度补偿模型，利用内部传感器数据和信号处理技术来保持测量精度。 实验结果表明，在一系列内部温度条件下，性能得到了改善，计算开销最小，确保了在密集网络环境中的可扩展性。 该框架还结合了伦理设计原则，避免依赖敏感的外部数据。 所提出的方案将中频（IF）信号幅度与内部温度漂移之间的皮尔逊相关性降低了高达84%，显著减轻了温度漂移。 显示英文摘要

摘要： We present a novel internal calibration framework for Millimeter- Wave (mmWave) Frequency-Modulated Continuous-Wave (FMCW) radars to ensure robust performance under internal temperature variations, tailored for deployment in dense wireless networks. Our approach mitigates the impact of temperature-induced drifts in radar hardware, enhancing reliability. We propose a temperature compensation model that leverages internal sensor data and signal processing techniques to maintain measurement accuracy. Experimental results demonstrate improved robustness across a range of internal temperature conditions, with minimal computational overhead, ensuring scalability in dense network environments. The framework also incorporates ethical design principles, avoiding reliance on sensitive external data. The proposed scheme reduces the Pearson correlation between the amplitude of the Intermediate Frequency (IF) signal and internal temperature drift up to 84%, significantly mitigating the temperature drift.