Multi-sensor Gyro Array
Data analysis of a multi-sensor gyro array for indoor mobile device tracking
BS, MS, or PhD
Indoor tracking of mobile devices makes use of inertial sensors including gyros and accelerometers. Typically, 3 gyroscopes and 3 accelerometers are configured along orthogonal axes within a single Inertial Measurement Unit (IMU). Tracking performance is affected by the accuracy and noise in the sensors, which results in accumulated errors in heading estimation when integrating the angular rates measurements. The goal of this project is to determine the feasibility of using an array of MEMS based gyroscopes and accelerometers in order
to improve performance. For this project, Intel will design and building the hardware test-platform, which will then be provided to PSU for testing and analysis.
The student will assist in setting up hardware and performing data collections. Research will involve noise and data analysis, calibration, and the design and testing of various algorithms to combine sensor measurements. Other research may also include incorporating the sensors into personal navigation systems as well as analyzing alternative array configurations.
Prior classwork in digital signal processing and statistics, and experience in MATLAB programming is required.
Additional background in state-space methods, Kalman filtering, and robotics is also desired.
In one e-mail to Eric Wan, please include the following:
- Attach a resume and list of classes taken (pdf or txt format).
- In the body of the e-mail, briefly provide the following:
- List current year of study and degree program
- Indicate your academic goals
- Identify which project (or both) that there is interest in
- Short statement of background qualifications and experience
- Statement of availability explaining how much time can be committed to the research