In industrial applications, the large comprehensive wireless channel impulse response (CIR) reference dataset, measured by National Institute of Standards and Technology (NIST), has been a useful tool for understanding propagation within factory environments. The NIST CIR reference dataset is obtained using a precision channel sounder instrument where transmitter and receiver are time-synchronized by two rubidium clocks. While the accuracy of the NIST CIRs is much higher than the CIRs measured by general commercial digital receiver, two types of system errors have been discovered within the dataset from the perspective of signal processing. These errors are significant for wireless localization, physical layer security, and related applications. To calibrate the CIR, two channel sounder error calibration methods (CSEC) is proposed: the CSEC based on phase compensation and carrier frequency offset recovery. Our results reveal that the CSEC method can improve the accuracy of the CIR to the accuracy that precise instruments cannot achieve. To demonstrate the consequence of these systemic errors, a case study involving physical layer authentication is investigated showing a marked improvement in authentication accuracy after the systemic errors in the dataset are removed. Moreover, the CSEC method may be used to correct other CIR datasets with similar systemic errors.

中文翻译：

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工业应用无线信道探测大型数据集的系统误差校准。

在工业应用中，由美国国家标准与技术研究院 (NIST) 测量的大型综合无线信道脉冲响应 (CIR) 参考数据集已成为了解工厂环境中传播的有用工具。NIST CIR 参考数据集是使用精密通道测深仪获得的，其中发射器和接收器通过两个铷时钟进行时间同步。虽然 NIST CIR 的准确度远高于一般商用数字接收机测量的 CIR，但从信号处理的角度来看，在数据集中发现了两种类型的系统错误。这些错误对于无线定位、物理层安全和相关应用非常重要。为了校准 CIR，提出了两种通道测深仪误差校准方法 (CSEC)：基于相位补偿和载波频率偏移恢复的 CSEC。我们的结果表明，CSEC 方法可以将 CIR 的精度提高到精密仪器无法达到的精度。为了证明这些系统错误的后果，研究了一个涉及物理层身份验证的案例研究，表明在数据集中的系统错误被删除后，身份验证准确性有了显着提高。此外，CSEC 方法可用于纠正具有类似系统错误的其他 CIR 数据集。一项涉及物理层身份验证的案例研究表明，在消除数据集中的系统错误后，身份验证准确性显着提高。此外，CSEC 方法可用于纠正具有类似系统错误的其他 CIR 数据集。一项涉及物理层身份验证的案例研究表明，在消除数据集中的系统错误后，身份验证准确性显着提高。此外，CSEC 方法可用于纠正具有类似系统错误的其他 CIR 数据集。