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Factors Affecting Data Fusion Performance in an Inertial Measurement Unit

Journal Name:

  • Journal of Control Engineering and Technology

Publication Year:

  • 2013

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
Implementation of a data fusion system is a multifaceted task that involves application of single or many techniques. The factors affecting the performance of data fusion system depends on many parameters such as selection of technique, selection of sensors and type of data and introduction of noise. In this paper, Kalman filtering technique is used to fuse the data obtained from accelerometer and gyroscope in an inertial measurement unit (IMU). The study explores the effect of measurement noise and process noise on data fusion performance.
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FULL TEXT (PDF): 
PDF icon arastrmx_153796_3_pp_107-110.pdf
  • 3
107-110
  • English

REFERENCES

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