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Spectral Leakage-Driven Loopback Scheme for Prediction of Mixed-Signal Circuit Specifications

Authors
Kim, ByounghoAbraham, Jacob A.
Issue Date
Jan-2019
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Analog-to-digital converter (ADC); built-in self-test (BIST); digital-to-analog converter (DAC); fault detection; harmonic measurement; instrumentation; manufacturing test; mixed-signal testing; production test
Citation
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.66, no.1, pp 586 - 594
Pages
9
Indexed
SCI
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume
66
Number
1
Start Page
586
End Page
594
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/3913
DOI
10.1109/TIE.2018.2829667
ISSN
0278-0046
1557-9948
Abstract
The rising cost of production testing for a system-on-a-chip (SoC) is one of the crucial matters to chip makers, due to long test time and costly automated-test-equipment. This paper proposes a spectral leakage-driven built-in self-test (BIST) scheme to precisely predict the non-linearity of mixed-signal circuits in the loopback mode, thereby accomplishing cost-effectiveness (compared to previous BIST-based works). A digitally synthesized single-tone sinusoidal stimulus used for conventional harmonic testing is incoherently sampled by a device under test (DUT). The DUT output signal exhibits the correlation between the DUT harmonics and the spectral leakage introduced by the incoherent sampling. The DUT output signal is then fed to another DUT through a loopback path, so that the harmonics of a pair of DUTs are correlated with the spectral leakage on the loopback response; the magnitude of the spectral leakage is considered as a weighting factor on the harmonic magnitude of those DUTs. The correlation is quantitatively modeled as characteristic equations in (15), and postprocessing predicts the harmonics of the two individual DUTs, by simultaneously solving the characteristic equations using on-chip DSP core available in an SoC. Simulation and hardware measurements validated that this paper can be practically used for production testing by showing less than 0.3 and 0.6 dB of the prediction errors, respectively.
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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