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Micromachines 2016, 7(5), 91;

Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm

Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Author to whom correspondence should be addressed.
Academic Editor: Stefano Mariani
Received: 2 March 2016 / Revised: 25 April 2016 / Accepted: 11 May 2016 / Published: 16 May 2016
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Pedestrian Dead Reckoning (PDR) by combining the Inertial Measurement Unit (IMU) and magnetometer is an independent navigation approach based on multiple sensors. Since the inertial component error is significantly determined by the parameters of navigation equations, the navigation precision may deteriorate with time, which is inappropriate for long-time navigation. Although the BeiDou (BD) navigation system can provide high navigation precision in most scenarios, the signal from satellites is easily degraded because of buildings or thick foliage. To solve this problem, a tightly-coupled BD/MEMS (Micro-Electro-Mechanical Systems) integration algorithm is proposed in this paper, and a prototype was built for implementing the integrated system. The extensive experiments prove that the BD/MEMS system performs well in different environments, such as an open sky environment and a playground surrounded by trees and thick foliage. The proposed algorithm is able to provide continuous and reliable positioning service for pedestrian outdoors and thereby has wide practical application. View Full-Text
Keywords: BD/MEMS navigation; tight coupling; pedestrian dead reckoning; extended Kalman filter; low cost BD/MEMS navigation; tight coupling; pedestrian dead reckoning; extended Kalman filter; low cost

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Lin, T.; Zhang, Z.; Tian, Z.; Zhou, M. Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm. Micromachines 2016, 7, 91.

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