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Proceedings Paper

Design and integration of a compact common miniature environment-insensitive navigation module for unmanned vehicles
Author(s): Gang Dai; Wei Su; Mei Li
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Paper Abstract

A common miniature environment-insensitive navigation module which not only can provide the accurate position through different environment but also can easily be configured to adapt to the different type of unmanned vehicles is proposed in this paper. The module prototype is composed of a integrated MEMS inertial navigation unit using MEMS accelerometers and gyroscopes, a hard aluminum module structure with rubber isolator, a series of sensor interface of magnetometer, embedded GPS receiver, infrared sensor, vision camera, radio frequency communication etc and a FPGA based central control and navigation calculation circuit. The fabricated MEMS accelerometers and gyroscopes can resist high-g shock and have temperature drift compensation. The structure of the module uses hard aluminum with finite element analysis to find the appropriate position for sensors. All sensors without antenna are packaged in the structure with moisture, heat isolation and rubber isolator. The navigation computation scheme use the status of connected sensors to choose appropriate algorithm function to compute the navigation output. FPGA is used to be the main control and process unit of this module. Algorithms are embedded in the FPGA using the DSP core. The multiply interfaces to other sensor are implemented using the flexible configuration of the FPGA and peripheral. The conclusions are reached at last.

Paper Details

Date Published: 26 October 2010
PDF: 10 pages
Proc. SPIE 7833, Unmanned/Unattended Sensors and Sensor Networks VII, 783309 (26 October 2010); doi: 10.1117/12.864913
Show Author Affiliations
Gang Dai, Chinese Academy of Engineering Physics (China)
Tsinghua Univ. (China)
Wei Su, Chinese Academy of Engineering Physics (China)
Mei Li, Chinese Academy of Engineering Physics (China)


Published in SPIE Proceedings Vol. 7833:
Unmanned/Unattended Sensors and Sensor Networks VII
Edward M. Carapezza, Editor(s)

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