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Analog circuits component diagnosis is a challenging
task requiring expensive resources. This paper presents a low
cost method to identify deviations in multiple component values
using a precharacterisation of the impact of the deviations on
the digital signatures for a set of input excitations. The method
predicts several circuit under diagnosis (CUD) deviations by
mapping them to a scalar value that indicates the discrepancy
of the defective and golden digital signatures. Input excitation
consists of a small set of sinusoidal signals with different
frequencies. A digital signature is generated for every excitation
set and compared to the golden response. The scalar discrepancy
values are used to obtain the component deviations of the CUD.
In order to generate the signatures, a CMOS monitor circuit
has been designed and fabricated. The method is applied to
the identification of capacitance deviations in a Biquad filter.
Simulated results show the possibilities of the proposal
CitationGómez, A. [et al.]. Identification of component deviations in analog circuits using digital signatures. A: Conference on Design of Circuits and Integrated Systems. "Proceedigns of XXV Conference on Design of Circuits and Integrated Systems". Lanzarote (Canàries): 2011, p. 187-192.
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