研究目的
To propose and evaluate a new switching sequence for unary digital-to-analog converters that reduces static nonlinearity caused by systematic errors, using a knight's tour based on modified Warnsdorf's rule.
研究成果
The proposed knight's tour switching sequence effectively reduces both maximal and mean INL by an average of 20% across a wide temperature range, improving DAC performance by compensating for systematic errors. It is suitable for various DAC resolutions and array dimensions, offering a generalized approach for unary DAC design.
研究不足
The proposed switching sequence may not be applicable to non-square arrays without modification, and the search for knight's tours can be resource-intensive. The DAC output signal range was full scale, which added static errors from voltage buffers, and the complexity of layout design for high-resolution DACs limits practical application.
1：Experimental Design and Method Selection:
The study involved designing and fabricating a 10-bit resistive DAC in UMC 180-nm technology to test the proposed switching sequence. A comparative analysis of various switching sequences was conducted using MATLAB simulations for different DAC resolutions and systematic error conditions.
2：Sample Selection and Data Sources:
The test IC included two DACs: one without compensation and one with the proposed knight's tour switching sequence. Ten samples of DAC dies were measured.
3：List of Experimental Equipment and Materials:
Equipment included Agilent E3634A and Keysight B2912A power sources, NI USB 6002 data acquisition board, Tabai MC-71W hot and cold chamber, and LabVIEW software for data control and analysis. The DAC was fabricated using UMC 180-nm technology.
4：Experimental Procedures and Operational Workflow:
The DAC input code was incremented every 100 ms, and output voltages were measured 10 times every 10 ms, averaged, and used to calculate INL and DNL. Measurements were performed over a temperature range from -40°C to 85°C.
5：Data Analysis Methods:
Data were analyzed using MATLAB for simulation of INL and DNL, and experimental data were processed to compute reductions in nonlinearity.
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