An FPGA-based architecture for the in-run self-calibration of MEMS gyroscopes
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Two important metrics to consider when evaluating the performance of a MEMS vibratory gyroscope are the bias and scale factor drifts, and we propose an FPGA-based digital self-calibration architecture that cancels the influence of these errors in the gyro output. Using a digital interfacing architecture allows for the elimination of sources of drift known to be the limiting factors in the analog implementation. Also, with the dual-mode architecture, the digital platform allows utilization of DSP procedures for in-run analysis and compensation of error sources.