Gyroscope Data Integration for Power Reduction
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Solution Overview
Problem
High-rate gyroscope data transmission in motion sensor 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 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 a 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 where they are most efficient (in-device) and transmitting only essential processed data.
Solution Approach 2:
The patent applies preliminary action by performing gyroscope data integration at a high rate within the device before transmission. The integrated data is prepared in advance and then transmitted at a lower rate to the processor, which reduces the data transmission burden and associated power consumption while maintaining the precision benefits of high-rate processing.
2Measurement precision
If integration is performed at a high rate to reduce errors, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges the gyroscope integration function directly into the gyroscope device itself, combining the sensor and processing capabilities in a single integrated unit. This eliminates the need for separate high-rate processing hardware and reduces overall system complexity while maintaining high-rate integration capabilities for error reduction.
Solution Approach 2:
The gyroscope device performs self-service by integrating its own output data at a high rate within the device before transmission to the processor. This self-integration capability reduces the processing burden on external processors and simplifies the overall system architecture while maintaining measurement precision through high-rate error reduction.
3Measurement precision
If sensor fusion is performed at a high rate to maintain data accuracy, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent applies dynamics by adjusting the sensor fusion rate based on system needs. Instead of performing sensor fusion at a fixed high rate, the system dynamically performs fusion at a lower rate after high-rate integration has already reduced errors, thereby maintaining data accuracy while reducing power consumption during normal operation.
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.