Multi-condition alternate test of analog, mixed-signal, and RF systems

Abstract

This work proposes a generic path to improve Alternate Test strategies. It demonstrates that multi-condition test increases the amount of information present in the test data and consequently decreases the prediction error of the trained models. The ambition of this paper is to be a methodological contribution to the field of AMS-RF test, and formal guidelines are provided that justify the interest of the approach. For the sake of validation, the proposed methodology has been applied to several alternate test strategies for analog, mixed signal, and RF circuits. Promising results are found for the following case studies: an analog filter, a Σ∆ A/D converter, and an RF LNA.