MSA-16G
High-resolution MEMS accelerometer with ±16g range, 16-bit output, and 200μg/√Hz noise density for tilt sensing and navigation applications.
Product Overview
Description
The MSA-16G is a high-resolution MEMS accelerometer designed for precision tilt sensing, navigation, and low-g motion detection applications. The ±16g range and 16-bit resolution provide exceptional measurement precision.
With 1000 LSB/g sensitivity and ultra-low 200μg/√Hz noise density, this accelerometer enables precise tilt measurement with accuracy better than 0.1 degrees. The digital SPI/I2C interface provides flexible system integration.
Advanced features include programmable bandwidth, built-in temperature compensation, and motion detection interrupts. The low power consumption makes it ideal for battery-powered portable devices and IoT applications.
Product Series
MSA
Primary Application
Tilt sensing and inclinometers
Key Features
- ±16g range optimized for tilt and low-g applications
- 16-bit resolution with 1000 LSB/g sensitivity
- Ultra-low 200μg/√Hz noise density
- Programmable bandwidth 1Hz to 1kHz
- Motion detection interrupts for wake-on-motion
- Low power consumption 130μA typical
Specifications
| Measurement Range | ±16g |
|---|---|
| Sensitivity | 1000 LSB/g (16-bit) |
| Noise Density | 200 μg/√Hz |
| Bandwidth | Programmable 1Hz - 1kHz |
| Operating Temperature | -40°C to +85°C |
| Supply Voltage | 1.8V - 3.6V |
| Interface | SPI / I2C |
| Qualification | Industrial Grade |
Applications
Tilt sensing and inclinometers
Electronic system design
Electronic compass tilt compensation
Electronic system design
Navigation and dead reckoning
Electronic system design
Screen rotation for tablets/laptops
Electronic system design
Game controllers and VR devices
Industrial automation and control
IoT motion sensing
Electronic system design
FAE Expert Insights
"The MSA-16G is my go-to recommendation for high-precision tilt sensing and navigation applications. The 16-bit resolution and 200μg/√Hz noise density deliver exceptional performance - I've achieved better than 0.1-degree tilt accuracy in calibrated systems. The 1000 LSB/g sensitivity provides excellent resolution for low-g applications. I particularly like the motion detection interrupt feature which enables wake-on-motion functionality while keeping the host processor in sleep mode - perfect for battery-powered IoT devices. The low 130μA current consumption extends battery life significantly. The programmable bandwidth allows optimization for different applications - I use 10Hz for static tilt sensing to minimize noise, and higher bandwidth for dynamic applications. The SPI/I2C interface works seamlessly with all major microcontrollers. For electronic compass applications, this accelerometer provides excellent tilt compensation when paired with a magnetometer. The price-performance ratio is excellent compared to competing high-resolution accelerometers."
Exceptional 16-bit resolution and low noise for precision tilt sensing
— David Chen, BeiLuo
Frequently Asked Questions
What tilt accuracy can be achieved with the MSA-16G?
The MSA-16G can achieve tilt accuracy of 0.1 to 0.5 degrees depending on calibration and implementation: 1) Uncalibrated accuracy: approximately 1-2 degrees; 2) With offset calibration: 0.5-1 degree; 3) With full calibration (offset + sensitivity + temperature): 0.1-0.3 degrees. The 16-bit resolution and 200μg/√Hz noise density provide the foundation for high accuracy. For best results: implement temperature compensation, use the lowest practical bandwidth (10-50Hz), and perform system-level calibration. The accelerometer measures the gravity vector component, so accuracy depends on the tilt angle - best accuracy near 0 and 90 degrees, slightly reduced at 45 degrees.
Expect 0.1-0.5 degree accuracy with proper calibration. Implement temperature compensation and use low bandwidth for static tilt applications.
How do I calculate tilt angle from accelerometer data?
Tilt angle calculation from MSA-16G accelerometer data: For single-axis tilt (rotation around one axis): Angle = arcsin(Ax / g) where Ax is the acceleration on the sensitive axis and g is 1g (9.8m/s²). For dual-axis tilt: Roll = atan2(Ay, Az), Pitch = atan2(-Ax, sqrt(Ay² + Az²)). Use atan2 for proper quadrant handling. The accelerometer must be stationary during measurement - dynamic acceleration affects accuracy. For continuous tilt measurement in moving applications, combine with gyroscope data using sensor fusion (Kalman or complementary filter). The 16-bit resolution provides sufficient precision for accurate angle calculation.
Use arcsin for single-axis, atan2 for dual-axis tilt calculation. Combine with gyroscope for dynamic applications using sensor fusion.
What is the motion detection interrupt feature?
The MSA-16G motion detection interrupt enables wake-on-motion functionality: 1) Programmable acceleration threshold (in g) triggers the interrupt; 2) Programmable duration ensures sustained motion before triggering; 3) Interrupt pin signals the host processor when motion is detected; 4) Host can remain in sleep mode until motion occurs. This feature is ideal for battery-powered devices - the accelerometer monitors for motion while consuming only 130μA, and the host processor sleeps at microamp currents. Typical applications include: smart remote controls, asset trackers, security devices, and activity monitors. The interrupt can be configured for positive/negative acceleration on any axis.
Use motion detection interrupts to minimize system power consumption. Set threshold above typical vibration levels to avoid false triggers.
How do I implement sensor fusion with a gyroscope?
Sensor fusion combines MSA-16G accelerometer data with gyroscope data for accurate orientation tracking: 1) Accelerometer provides absolute tilt reference (gravity vector) but is noisy and affected by dynamic acceleration; 2) Gyroscope provides smooth angular rate data but drifts over time; 3) Fusion algorithms (complementary filter, Kalman filter) combine both for optimal results. Implementation steps: 1) Sample both sensors at consistent rate (typically 100-200Hz); 2) Integrate gyroscope data for orientation change; 3) Use accelerometer to correct drift; 4) Apply fusion algorithm weights based on sensor characteristics. For navigation applications, add magnetometer for heading reference (9-DOF fusion). Many microcontrollers and sensor hubs include optimized fusion libraries.
Use complementary filter for simple applications, Kalman filter for optimal performance. Many MCUs provide optimized fusion libraries.
Can this accelerometer be used for vibration monitoring?
The MSA-16G can be used for low-frequency vibration monitoring, but with limitations: 1) ±16g range limits maximum measurable vibration amplitude; 2) 1kHz maximum bandwidth limits high-frequency vibration detection; 3) Low noise density (200μg/√Hz) enables detection of small vibrations. Suitable applications: 1) Low-speed machinery (rotating equipment <600 RPM); 2) Structural vibration monitoring; 3) Transportation shock monitoring. For industrial vibration monitoring, consider the MSA-100G with wider bandwidth and higher range. Set bandwidth to at least 2x the highest vibration frequency of interest. FFT analysis of accelerometer data provides frequency spectrum for condition monitoring.
Suitable for low-frequency vibration (<500Hz) and low-amplitude applications. For industrial vibration monitoring, use higher-range accelerometers.