论文标题
基于高斯流程的方法，用于验证多变量测量系统：应用于SAR测量系统
A Gaussian process based approach for validation of multi-variable measurement systems: application to SAR measurement systems
论文作者
论文摘要
对旨在测量多维参数空间的系统的资源有效且可靠的验证是一个未解决的问题，因为它需要数百万的测试排列才能进行全面的验证覆盖范围。在本文中，已经开发了基于测试系统的高斯过程（GP）模型的高效且全面的验证方法，该方法已经开发了可以通过系统不稳定的操作，避免对固定的已知验证基准测试，并支持大型配置空间。该方法包括三个步骤，可以由不同的各方独立执行：1）GP模型创建，2）模型确认和3）针对关键案例的目标搜索。它已应用于两个系统，这些系统测量了无线设备的合规性测试特定吸收率（SAR）并应用不同的SAR测量方法：探针扫描系统（PER IEC/IEEE 62209-1528）和静态传感器阵列系统（PER IEC 62209-3）。结果表明，该方法是实用的，可行的，适合证明有效的等效性，并且可以应用于任何测量方法和实施。提出的方法足够通用，不仅对于SAR系统验证具有价值，而且在需要关键，独立和有效验证的各种应用程序中具有价值。
Resource-efficient and robust validation of systems designed to measure a multi-dimensional parameter space is an unsolved problem as it would require millions of test permutations for comprehensive validation coverage. In the paper, an efficient and comprehensive validation approach based on a Gaussian Process (GP) model of the test system has been developed that can operate system-agnostically, avoids calibration to a fixed set of known validation benchmarks, and supports large configuration spaces. The approach consists of three steps that can be performed independently by different parties: 1) GP model creation, 2) model confirmation, and 3) targeted search for critical cases. It has been applied to two systems that measure specific absorption rate (SAR) for compliance testing of wireless devices and apply different SAR measurement methods: a probe-scanning system (per IEC/IEEE 62209-1528), and a static sensor-array system (per IEC 62209-3). The results demonstrate that the approach is practical, feasible, suitable for proving effective equivalence, and can be applied to any measurement method and implementation. The presented method is sufficiently general to be of value not only for SAR system validation, but also in a wide variety of applications that require critical, independent, and efficient validation.
