Date: 27/06/2012
10-DoF MEMS IMU with an embedded sensor fusion algorithm
Analog Devices, Inc. (ADI) has introduced a 10-degree-of-freedom (DoF) MEMS inertial measurement unit (IMU) with an embedded sensor fusion algorithm to deliver accurate orientation sensing in platform stabilization, navigation and instrumentation applications. The ADIS16480 10-DoF is the latest addition to ADI’s iSensor MEMS IMU portfolio and integrates a tri-axis gyroscope, tri-axis accelerometer, tri-axis magnetometer, a pressure sensor and ADI’s ADSP-BF512 Blackfin processor in a single package.
The ADIS16480 incorporates an extended Kalman filter (EKF) that fuses the sensor inputs over time to provide precise positioning. This is particularly useful in systems that require real-time positioning yet where movement is constant, complex and dynamic, such as military and commercial aircraft navigation, unmanned vehicles, movable platform positioning, and industrial robotics.
Specifications of ADIS16480:
1. Extended adaptive Kalman filter
2. Tri-axis, digital gyroscope: ±450°/sec dynamic range
3. 6°/hr in-run bias stability
4. 0.3°/vhr angular random walk
5. Tri-axis, digital accelerometer: ±10 g
6. Tri-axis, digital magnetometer: ±2.5 gauss
7. 330 MHz bandwidth
8. Digital pressure sensor: 300 mbar to 1100 mbar
9. Start-up time: ~500 ms
10. SPI-compatible serial interface
11. 2000 g shock survivability
Kalman filtering is a mathematical algorithm that estimates the given state of a noisy, variable process by taking multiple measurements over time, and merging these with a predictive state estimator. When embedded in the ADIS16480, the Kalman filter intelligently combines the MEMS IMU’s motion sensor inputs to offer precise positioning data. The code development is saved by embedding the filter in the Blackfin processor’s core.
“When determining exact position or orientation, industrial and defense electronics systems are dependent not only on the accuracy of individual sensors, but on the sophistication of accurately and dynamically combining multiple inputs,” said Bob Scannell, iSensor business development manager, MEMS/Sensors Group, Analog Devices. “The ADIS16480 MEMS IMU’s embedded, extended Kalman filter helps the system discern which sensors to ‘trust’ based on contextual awareness. This allows system-level designers to achieve positional accuracy under a variety of demanding environmental conditions by either letting the filter autonomously adjust, or by tuning the filter via its programmable interface.”
Product Sample availability Full production Price each per 1k units Packaging
ADIS16480 Now Now $1545.00 47 × 44 × 14 mm 24-lead module with connector interface
Data sheet: http://www.analog.com/ADIS16480
Analog Devices, Inc. (ADI) has introduced a 10-degree-of-freedom (DoF) MEMS inertial measurement unit (IMU) with an embedded sensor fusion algorithm to deliver accurate orientation sensing in platform stabilization, navigation and instrumentation applications. The ADIS16480 10-DoF is the latest addition to ADI’s iSensor MEMS IMU portfolio and integrates a tri-axis gyroscope, tri-axis accelerometer, tri-axis magnetometer, a pressure sensor and ADI’s ADSP-BF512 Blackfin processor in a single package.
The ADIS16480 incorporates an extended Kalman filter (EKF) that fuses the sensor inputs over time to provide precise positioning. This is particularly useful in systems that require real-time positioning yet where movement is constant, complex and dynamic, such as military and commercial aircraft navigation, unmanned vehicles, movable platform positioning, and industrial robotics.
Specifications of ADIS16480:
1. Extended adaptive Kalman filter
2. Tri-axis, digital gyroscope: ±450°/sec dynamic range
3. 6°/hr in-run bias stability
4. 0.3°/vhr angular random walk
5. Tri-axis, digital accelerometer: ±10 g
6. Tri-axis, digital magnetometer: ±2.5 gauss
7. 330 MHz bandwidth
8. Digital pressure sensor: 300 mbar to 1100 mbar
9. Start-up time: ~500 ms
10. SPI-compatible serial interface
11. 2000 g shock survivability
Kalman filtering is a mathematical algorithm that estimates the given state of a noisy, variable process by taking multiple measurements over time, and merging these with a predictive state estimator. When embedded in the ADIS16480, the Kalman filter intelligently combines the MEMS IMU’s motion sensor inputs to offer precise positioning data. The code development is saved by embedding the filter in the Blackfin processor’s core.
“When determining exact position or orientation, industrial and defense electronics systems are dependent not only on the accuracy of individual sensors, but on the sophistication of accurately and dynamically combining multiple inputs,” said Bob Scannell, iSensor business development manager, MEMS/Sensors Group, Analog Devices. “The ADIS16480 MEMS IMU’s embedded, extended Kalman filter helps the system discern which sensors to ‘trust’ based on contextual awareness. This allows system-level designers to achieve positional accuracy under a variety of demanding environmental conditions by either letting the filter autonomously adjust, or by tuning the filter via its programmable interface.”
Product Sample availability Full production Price each per 1k units Packaging
ADIS16480 Now Now $1545.00 47 × 44 × 14 mm 24-lead module with connector interface
Data sheet: http://www.analog.com/ADIS16480
Analog Devices, Inc. (ADI) has introduced a 10-degree-of-freedom (DoF) MEMS inertial measurement unit (IMU) with an embedded sensor fusion algorithm to deliver accurate orientation sensing in platform stabilization, navigation and instrumentation applications. The ADIS16480 10-DoF is the latest addition to ADI’s iSensor MEMS IMU portfolio and integrates a tri-axis gyroscope, tri-axis accelerometer, tri-axis magnetometer, a pressure sensor and ADI’s ADSP-BF512 Blackfin processor in a single package.
The ADIS16480 incorporates an extended Kalman filter (EKF) that fuses the sensor inputs over time to provide precise positioning. This is particularly useful in systems that require real-time positioning yet where movement is constant, complex and dynamic, such as military and commercial aircraft navigation, unmanned vehicles, movable platform positioning, and industrial robotics.
Specifications of ADIS16480:
1. Extended adaptive Kalman filter
2. Tri-axis, digital gyroscope: ±450°/sec dynamic range
3. 6°/hr in-run bias stability
4. 0.3°/vhr angular random walk
5. Tri-axis, digital accelerometer: ±10 g
6. Tri-axis, digital magnetometer: ±2.5 gauss
7. 330 MHz bandwidth
8. Digital pressure sensor: 300 mbar to 1100 mbar
9. Start-up time: ~500 ms
10. SPI-compatible serial interface
11. 2000 g shock survivability
Kalman filtering is a mathematical algorithm that estimates the given state of a noisy, variable process by taking multiple measurements over time, and merging these with a predictive state estimator. When embedded in the ADIS16480, the Kalman filter intelligently combines the MEMS IMU’s motion sensor inputs to offer precise positioning data. The code development is saved by embedding the filter in the Blackfin processor’s core.
“When determining exact position or orientation, industrial and defense electronics systems are dependent not only on the accuracy of individual sensors, but on the sophistication of accurately and dynamically combining multiple inputs,” said Bob Scannell, iSensor business development manager, MEMS/Sensors Group, Analog Devices. “The ADIS16480 MEMS IMU’s embedded, extended Kalman filter helps the system discern which sensors to ‘trust’ based on contextual awareness. This allows system-level designers to achieve positional accuracy under a variety of demanding environmental conditions by either letting the filter autonomously adjust, or by tuning the filter via its programmable interface.”
Product Sample availability Full production Price each per 1k units Packaging
ADIS16480 Now Now $1545.00 47 × 44 × 14 mm 24-lead module with connector interface
Data sheet: http://www.analog.com/ADIS16480