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Optimization problem formulation for semi-digital FIR digital-to-analog converter considering coefficients precision and analog metrics
Linköping University, Department of Electrical Engineering, Integrated Circuits and Systems. Linköping University, Faculty of Science & Engineering. Ericsson AB, Sweden.
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3470-3911
Linköping University, Department of Electrical Engineering, Integrated Circuits and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2144-6795
2019 (English)In: Analog Integrated Circuits and Signal Processing, ISSN 0925-1030, E-ISSN 1573-1979, Vol. 99, no 2, p. 287-298Article in journal (Refereed) Published
Abstract [en]

Optimization problem formulation for semi-digital FIR digital-to-analog converter (SDFIR DAC) is investigated in this work. Magnitude and energy metrics with variable coefficient precision are defined for cascaded digital sigma modulators, semi-digital FIR filter, and Sinc roll-off frequency response of the DAC. A set of analog metrics as hardware cost is also defined to be included in SDFIR DAC optimization problem formulation. It is shown in this work, that hardware cost of the SDFIR DAC, can be significantly reduced by introducing flexible coefficient precision while the SDFIR DAC is not over designed either. Different use-cases are selected to demonstrate the optimization problem formulations. A combination of magnitude metric, energy metric, coefficient precision and analog metrics are used in different use cases of optimization problem formulation and solved to find out the optimum set of analog FIR taps. A new method with introducing the variable coefficient precision in optimization procedure was proposed to avoid non-convex optimization problems. It was shown that up to 22% in the total number of unit elements of the SDFIR filter can be saved when targeting the analog metric as the optimization objective subject to magnitude constraint in pass-band and stop-band.

Place, publisher, year, edition, pages
SPRINGER , 2019. Vol. 99, no 2, p. 287-298
Keywords [en]
Semi-digital FIR filter; Optimization of SDFIR DAC; Digital Sigma-delta modulator; Analog FIR
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-158361DOI: 10.1007/s10470-018-1370-7ISI: 000465849300007OAI: oai:DiVA.org:liu-158361DiVA, id: diva2:1333834
Available from: 2019-07-02 Created: 2019-07-02 Last updated: 2019-07-02

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Sadeghifar, Mohammad RezaGustafsson, OscarWikner, Jacob
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