Gyroscope Integration Circuit Reduces Data Rate and Power
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Solution Overview
Problem
High-rate gyroscope data transmission in motion sensing applications leads to increased power consumption, necessitating an efficient method to reduce data rates and power usage while maintaining data precision.
Innovation Solution
Integration of gyroscope data at a higher rate within a semiconductor device, followed by transmission at a lower data rate, utilizing a curve-fit method to minimize processing requirements and power consumption, with sensor fusion performed at a lower rate to reduce computation and data traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gyroscope data is transmitted at high rate to maintain data precision, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent segments the data processing into two stages: high-rate integration performed locally within the gyroscope device to maintain precision, and low-rate transmission to the processor to reduce power consumption. This segmentation allows the system to achieve both high measurement precision and low power consumption by performing computationally intensive operations locally rather than continuously transmitting raw data.
Solution Approach 2:
The gyroscope device performs preliminary integration of gyroscope data at a high rate before transmission to the processor. This preliminary action consolidates multiple high-rate samples into integrated data, reducing the amount of data that needs to be transmitted while preserving the precision benefits of high-rate measurement.
2Measurement precision
If integration is performed at high rate to reduce errors, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges the gyroscope integration function with the gyroscope device itself, combining the sensor and processing capabilities in a single unit. This integration allows high-rate data processing to be performed within the device boundaries, reducing the complexity burden on the external processor while maintaining high measurement precision.
Data Source
AI summary
A method includes generating motion data by receiving a gyroscope data from a gyroscope sensor, performing integration using the gyroscope data and generating an integrated gyroscope data using a first processor. The method further includes receiving a data from one or more sensors, other than the gyroscope sensor, and performing sensor fusion using the integrated gyroscope data and the data to generate motion data using a second processor.