Course paper / final thesis, Student placement, Internship

Calibration of Redundant MEMS Inertial Measurement Platform

Starting date


Duration of contract

3 months


According to the German TVöD

Type of employment

Full-time (part-time possible)

"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

Your mission:

Inertial Reference Systems (IRS) are traditionally used in the avionics systems as one important part of the navigation subsystem. The IRS are normally based on navigation grade inertial sensors which supposed a significant part of the aircraft budget. Due to its high cost, size and weight, IRS cannot be considered for other types of applications. In particular, for automotive and UAVs applications, it is nowadays widespread the use of MEMS technology for the inertial measurement units (IMU). However, these lower-cost sensors are not as reliable as the navigation grade ones and they present high values of noise power. One solution to reduce the noise of the IMU output and to be able to detect possible faults in the units is to combine several of them in a redundant manner. In order to perform a correct estimation and fault detection out of the redundant platform in a practical implementation, the precise relative orientation of the sensors has to be well determined.

We offer an internship / Bachelor thesis opportunity to a student in electrical, communications, computer science or related field engineering.

Your mission will address one or several of the following points related to the Redundant IMU platform in the picture with real measurement data:

  • analyze and verify the correct synchronization of the IMU measurements.
  • develop and implement an algorithm to estimate the correct relative orientation of the sensors (boresights).
  • develop and implement an algorithm for the sensor bias estimation (pre-calibration).
  • implement a fault detection algorithm

Your qualifications:

  • good mathematical/signal processing background
  • experience with MATLAB and/or Python, C++
  • desirable knowledge about inertial sensors
  • fluent English

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy puts great value on a healthy work-life balance as well as equal opportunities for men and women. Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

Technical contact

Omar García Crespillo
Institute of Communications and Navigation

Phone: +49 8153 28-3653

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Vacancy 16107

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

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DLR Institute of Communications and Navigation

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