Research on Pedestrian Navigation Algorithm Based on MEMS Inertial Devices
Science Discovery
Volume 5, Issue 6, November 2017, Pages: 410-415
Received: Oct. 25, 2017; Published: Oct. 27, 2017
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Authors
Chen Zhaoyi, Aerospace Institute, Beijing Institute of Technology, Beijing, China
Du Xiaojing, Aerospace Institute, Beijing Institute of Technology, Beijing, China
Li Huaijian, Aerospace Institute, Beijing Institute of Technology, Beijing, China
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Abstract
Pedestrian navigation system (PNS) is also known as the walker navigation system, which is mainly used to track and posit real-time position of walker, to provide walk speed and position of walker, and also be applied to military, science, sport, rescue, the blind navigation, electronic product, etc. GPS signal is unreliable and difficult to provide accurate location information in most environments such as indoor, urban streets and canyons. At this point, the autonomous navigation system based on the proposed algorithm is a good solution. This article mainly analyzes the MEMS inertial device in the actual engineering practice, the application of the low precision of MEMS inertial device used in personal navigation correction algorithm, and combines the MEMS inertial sensors and GPS receiver, satisfies the requirement of pedestrian positioning. Using the complementary filter to fuse sensor data, we can obtain information of high precision orientation.
Keywords
MEMS Inertial Devices, Air Position Calculation, Kalman Filtering
To cite this article
Chen Zhaoyi, Du Xiaojing, Li Huaijian, Research on Pedestrian Navigation Algorithm Based on MEMS Inertial Devices, Science Discovery. Vol. 5, No. 6, 2017, pp. 410-415. doi: 10.11648/j.sd.20170506.12
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