Calibration of Inertial Sensors
Calibration of Inertial Sensors
At the inertial laboratory of the University of the Bundeswehr Munich, we offer professional calibration services for all IMU classes—from MEMS-grade sensors to navigation-grade IMUs. Our setup enables controlled, repeatable tests across a wide range of motion profiles and temperatures.
Laboratory equipment:
Hardware
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Three-axis motion simulator (turntable) by Acuitas AG (Fig. 1)
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CO₂-cooled temperature chamber integrated with the turntable
Temperature range: −60 °C to +100 °C -
Reference gravity: 8 µGal accuracy
(Please double-check the conversion: 1 µGal = 1×10⁻⁸ m/s² → 8 µGal ≈ 8×10⁻⁸ m/s²) -
Reference north direction: 1 arcsec accuracy (measured with a GYROMAT instrument)
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Vibration-isolated pier beneath the turntable to reduce environmental vibration coupling

Fig.1: Three-axis motion simulator (Acuitas AG)
Software
We operate a LabVIEW-based calibration environment (Fig. 2) featuring:
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Predefined calibration routines, e.g.
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Six-position static test
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Controlled turn-rate sequences
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Automatic report generation, enabling flexible test procedures and consistent documentation

Fig. 2: LabView-Software
Offered services:
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Calibration of deterministic error parameters for any IMU, including:
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Constant bias
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Scale factors
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Misalignment / non-orthogonality terms
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Temperature calibration (characterization of sensor behavior over temperature)
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Performance assessment of AHRS and INS, e.g.
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North-finding performance
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Alignment performance
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Engineering consulting, including:
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IMU/AHRS/INS integration support
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Test planning and calibration strategy design
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Sensor selection and trade-off studies
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Performance analysis, troubleshooting, and validation using simulation, lab and field data
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Scope & limitations
Please note that our laboratory services focus on research-grade calibration and performance characterization. At present, we do not:
- Long-term sensor aging / stability testing
- Industrial-standard / accredited calibration certificates
Some of our inertial laboratory related publications:
[1] M. Bochkati and T. Pany, "Does the Android Operating System Provide what the MEMS-IMU Manufacturers Promise?," 2021 DGON Inertial Sensors and Systems (ISS), 2021, pp. 1-17, doi: 10.1109/ISS52949.2021.9619775.
[2] B. Schulz, M. Bochkati, I. M. Solomon, E. Kiema and T. Pany, "Calibration of a 3D MEMS Gyroscope Using Shallow Neural Networks Under Laboratory Conditions," 2025 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL), Germany, 2025, pp. 1-4, doi: 10.1109/INERTIAL63280.2025.11036895. https://ieeexplore.ieee.org/abstract/document/11036895.
Contact
For further details, quotations, or test planning, please contact:
mohamed.bochkati@unibw.de