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A Digital-Analog Hybrid System-on-Chip for Capacitive Sensor Measurement and Control
Zhenyi Gao1, Bin Zhou1, Xiang Li1
1Engineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
A novel hybrid system-on-chip (SoC) integrates advanced circuits for capacitive inertial sensors. This design enables efficient control and processing, paving the way for miniaturized, low-power inertial measurement units.
Area of Science:
- Microelectronic Engineering
- Sensor Technology
- Embedded Systems
Background:
- Capacitance-based sensors are crucial for inertial measurement, offering miniaturization and low power potential.
- Existing control and processing systems for these sensors often lack integration and efficiency.
Purpose of the Study:
- To design and implement a novel digital-analog hybrid system-on-chip (SoC) for controlling and processing capacitance-based inertial sensors.
- To achieve efficient on-chip signal processing using a dedicated least mean square error demodulation (LMSD) algorithm.
Main Methods:
- Integration of a capacitor-to-voltage (C/V) conversion circuit and a band-pass sigma-delta modulator (BPSDM) as the analog-to-digital converter (ADC).
- On-chip digital signal processing utilizing a least mean square error demodulation (LMSD) algorithm.
- Incorporation of a low-power Cortex-M3 processor for control algorithms and parameter configuration.
Main Results:
- Successful tape-out of the SoC using SMIC 180 nm CMOS technology.
- Achieved a maximum operating frequency of 105 MHz with a total chip area of 77.43 mm².
- Demonstrated low power consumption: 18 mW static and 54 mW dynamic at a 51.2 MHz system clock.
Conclusions:
- The developed hybrid SoC effectively controls and processes capacitance-based inertial sensors.
- The integrated design offers a promising solution for high-performance, low-power inertial measurement applications.
- The chip's performance metrics validate its suitability for miniaturized inertial measurement systems.
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