Sensors 2008, 8(4), 2240-2261; doi:10.3390/s8042240
Article

Error and Performance Analysis of MEMS-based Inertial Sensors with a Low-cost GPS Receiver

1email and 2,* email
1 Research & Development Center, Hyundai Autonet Co., Ltd. Ami-ri, Bubal-eub, Ichon-si, kyoungki-do, 467-701, Korea 2 Department of Geomatics Engineering, Schulich School of Engineering, The University of Calgary, Calgary, Alberta, Canada T2N 1N4
* Author to whom correspondence should be addressed.
Received: 14 November 2007; Accepted: 26 March 2008 / Published: 29 March 2008
(This article belongs to the Special Issue Modeling, Testing and Reliability Issues in MEMS Engineering)
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Abstract: Global Navigation Satellite Systems (GNSS), such as the Global Positioning System (GPS), have been widely utilized and their applications are becoming popular, not only in military or commercial applications, but also for everyday life. Although GPS measurements are the essential information for currently developed land vehicle navigation systems (LVNS), GPS signals are often unavailable or unreliable due to signal blockages under certain environments such as urban canyons. This situation must be compensated in order to provide continuous navigation solutions. To overcome the problems of unavailability and unreliability using GPS and to be cost and size effective as well, Micro Electro Mechanical Systems (MEMS) based inertial sensor technology has been pushing for the development of low-cost integrated navigation systems for land vehicle navigation and guidance applications. This paper will analyze the characterization of MEMS based inertial sensors and the performance of an integrated system prototype of MEMS based inertial sensors, a low-cost GPS receiver and a digital compass. The influence of the stochastic variation of sensors will be assessed and modeled by two different methods, namely Gauss-Markov (GM) and AutoRegressive (AR) models, with GPS signal blockage of different lengths. Numerical results from kinematic testing have been used to assess the performance of different modeling schemes.
Keywords: Global Positioning System (GPS); Inertial Measurement Unit(IMU); Micro Electro Mechanical Systems(MEMS); Stochastic Modeling

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MDPI and ACS Style

Park, M.; Gao, Y. Error and Performance Analysis of MEMS-based Inertial Sensors with a Low-cost GPS Receiver. Sensors 2008, 8, 2240-2261.

AMA Style

Park M, Gao Y. Error and Performance Analysis of MEMS-based Inertial Sensors with a Low-cost GPS Receiver. Sensors. 2008; 8(4):2240-2261.

Chicago/Turabian Style

Park, Minha; Gao, Yang. 2008. "Error and Performance Analysis of MEMS-based Inertial Sensors with a Low-cost GPS Receiver." Sensors 8, no. 4: 2240-2261.

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