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Sensor Fusion and Error Compensation Algorithm for Pedestrian Navigation System

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Authors

Cho, Seong Yun; Park, Chan Gook; Yim, Hwa Young

Issue Date
2003
Citation
ICCAS, 2003.
Keywords
pedestrian navigationstep detectionstep length estimationazimuth calculationPNS/GPS
Abstract
This paper presents the pedestrian navigation algorithm and the error compensation filter. The pedestrian navigation system (PNS) consists of the MEMS inertial sensors, the fluxgate, and the small-size GPS receiver. PNS calculates the navigational information using the signal patterns of the accelerometers. And the navigational information is completed by integration of the patterns, the fluxgate, and the GPS information. In general, PNS can provide the better solution than the low-cost inertial navigation system.
Language
English
URI
https://hdl.handle.net/10371/10176
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