• DocumentCode
    30377
  • Title

    Aligning the Forces—Eliminating the Misalignments in IMU Arrays

  • Author

    Nilsson, John-Olof ; Skog, Isaac ; Handel, Peter

  • Author_Institution
    Dept. of Signal Process., KTH R. Inst. of Technol., Stockholm, Sweden
  • Volume
    63
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    2498
  • Lastpage
    2500
  • Abstract
    Ultralow-cost single-chip inertial measurement units (IMUs) combined into IMU arrays are opening up new possibilities for inertial sensing. However, to make these systems practical for researchers, a simple calibration procedure that aligns the sensitivity axes of the sensors in the array is needed. In this paper, we suggest a novel mechanical-rotation-rig-free calibration procedure based on blind system identification and a Platonic solid printable using a contemporary 3-D printer. The IMU array is placed inside the Platonic solid, and static measurements are taken with the solid subsequently placed on all sides. The recorded data are then used together with a maximum-likelihood-based approach to estimate the interIMU misalignment and the gain, bias, and sensitivity axis nonorthogonality of the accelerometers. The effectiveness of the method is demonstrated with calibration results from an in-house developed IMU array. MATLAB scripts for the parameter estimation and production files for the calibration device (solid) are provided.
  • Keywords
    accelerometers; calibration; inertial systems; maximum likelihood estimation; measurement systems; microsensors; sensor arrays; IMU array; accelerometer; blind system identification; calibration procedure; contemporary 3D printer; inertial measurement unit; inertial sensing; interIMU misalignment estimation; maximum likelihood-based approach; mechanical rotation rig free calibration procedure; platonic solid printable; sensitivity axes alignment; sensitivity axis nonorthogonality; static measurement; Accelerometers; Calibration; Sensitivity; Sensor arrays; Solids; Vectors; Accelerometers; calibration; gyroscopes; inertial navigation; maximum likelihood estimation; sensor array;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2014.2344332
  • Filename
    6879287