DETERMINING PERFORMANCE METRICS FOR A DEVICE UNDER TEST USING NEARFIELD MEASUREMENT RESULTS
Patent №
US 11,747,383
Granted
2023-09-05
Filed 2022
Owner
ADVANTEST CORPORATION
Lab
—
AI components
2
ml · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
17831200
Embodiments of the present invention provide systems and methods for performing tests on a device under test (DUT) based on training data derived from a set of training DUTs using nearfield measurement data. Nearfield measurement data can be mapped to performance metrics that approximate performance metrics derived from the far-field measurement data. Nearfield measurements can then be performed on a DUT to generate second nearfield measurement data, and performance metrics of the DUT are generated using the second nearfield measurement data and the mapped performance metrics derived from the training DUTs.
AI classification
Ownership
ADVANTEST CORPORATION
assignment · 635410921
Assignors
MOREIRA, JOSÉ
On an employer assignment, the assignors are typically the inventors.