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Proceedings Paper

Reconfigurable hardware mapping for accelerometer-based navigation applications
Author(s): Jeanette F. Arrigo; Paul M. Anderson; Paul M. Chau; Yi-Hsing Chen; Norman C. Tien
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Paper Abstract

Recent advances in reconfigurable logic have enabled physical hardware to be reused for different application and sensor types. This hardware reuse" provides a significant cost reduction since a single hardware design can be reused and adapted to many other applications with a simple change in software" (FPGA configuration information). Present navigation systems consist of a central processor providing the algorithmic computations and application specific integrated circuits (ASIC) converting the sensor data to a useable computational format. Using reconfigurable logic allows the signal processing for each sensor to be performed in parallel and the design can be revised as needed without fabricating a new ASIC. Development of our system presently uses only accelerometer data in order to study reconfiguration aspects in detail without adding complications due to the presence of other types of sensors. For an accelerometer-only navigation system, the navigation is most easily implemented in two dimensions. A design for an interferometric and an intensity-based MEMS (Microelectromechanical Machined Sensor) accelerometer are described and compared to a capacitance-based MEMS accelerometer implementation . Plans for final implementation on a monolithic ceramic substrate which will incorporate both optical or capacitance-based sensors and reconfigurable hardware as a complete system are also described. Keywords: Reconfigurable Processing, Sensor Signal Processing, Navigation, Accelerometer

Paper Details

Date Published: 12 August 1998
PDF: 12 pages
Proc. SPIE 3366, Robotic and Semi-Robotic Ground Vehicle Technology, (12 August 1998); doi: 10.1117/12.317557
Show Author Affiliations
Jeanette F. Arrigo, Univ. of California/San Diego (United States)
Paul M. Anderson, Cornell Univ. (United States)
Paul M. Chau, Univ. of California/San Diego (United States)
Yi-Hsing Chen, Cornell Univ. (United States)
Norman C. Tien, Cornell Univ. (United States)

Published in SPIE Proceedings Vol. 3366:
Robotic and Semi-Robotic Ground Vehicle Technology
Grant R. Gerhart; Ben A. Abbott, Editor(s)

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