Methodology for the Digital Calibration of Analog Circuits and
Systems shows how to relax the extreme design constraints in analog
circuits, allowing the realization of high-precision systems even
with low-performance components. A complete methodology is
proposed, and three applications are detailed.
To start with, an in-depth analysis of existing compensation
techniques for analog circuit imperfections is carried out. The
M/2+M sub-binary digital-to-analog converter is thoroughly studied,
and the use of this very low-area circuit in conjunction with a
successive approximations algorithm for digital compensation is
described. A complete methodology based on this compensation
circuit and algorithm is then proposed. The detection and
correction of analog circuit imperfections is studied, and a
simulation tool allowing the transparent simulation of analog
circuits with automatic compensation blocks is introduced.
The first application shows how the sub-binary M/2+M structure
can be employed as a conventional digital-to-analog converter if
two calibration and radix conversion algorithms are
implemented.
The second application, a SOI 1T DRAM, is then presented. A
digital algorithm chooses a suitable reference value that
compensates several circuit imperfections together, from the sense
amplifier offset to the dispersion of the memory read currents.
The third application is the calibration of the sensitivity of a
current measurement microsystem based on a Hall magnetic field
sensor. Using a variant of the chopper modulation, the spinning
current technique, combined with a second modulation of a reference
signal, the sensitivity of the complete system is continuously
measured without interrupting normal operation. A thermal drift
lower than 50 ppm/ C is achieved, which is 6 to 10 times less than
in state-of-the-art implementations. Furthermore, the calibration
technique also compensates drifts due to mechanical stresses and
ageing. "
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