Publikation

Coverage-Directed Stimuli Generation for Characterization of RF Amplifiers

Muhammad Hassan, Daniel Große, Ahmad Asghar, Rolf Drechsler

In: 32. GI/GMM/ITG Testmethoden und Zuverlässigkeit von Schaltungen und Systemen (TuZ 2020). GI/GMM/ITG Workshop Testmethoden und Zuverlässigkeit von Schaltungen und Systemen (TuZ-2020) February 16-18 Stuttgart Germany 2020.

Abstrakt

Functional coverage allows to measure the progressin verification and as a consequence allows to ensure highverification quality. However, this requires significant manualeffort in particular to achieve high coverage.In this paper we propose a coverage-directed stimuli gen-eration approach for the characterization ofRadio Frequency(RF) amplifiers. An output coverage analysis in combination witherror calculation steers the stimuli generation towards coverageclosure. We provide a case study using three industrialLow NoiseAmplifiers(LNAs) to demonstrate the applicability and efficacyof our approach.

Projekte

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence