An \omega-Free Gyro-Free Accelerometer Pair Algorithm for 2D Trajectory Reconstruction

• Published in: IEEE transactions on vehicular technology Vol. 69; no. 12; pp. 16173 - 16177
• Main Authors: Liu, Xinyu, Zhou, Qingfeng, Cheng, Chi-Tsun, Wu, Jianjian, Wang, Xindi, Fan, Lisheng
• Format: Journal Article
• Language: English
• Published: IEEE 01.12.2020
• Subjects: Acceleration; Accelerometers; Gyroscopes; inertial navigation; motion measurement; Sensor arrays; Sensor systems; Sensors; Trajectory; trajectory reconstruction
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2020.3043050

In general, a two-dimensional (2D) moving trajectory can be reconstructed using data collected from a 6-axis IMU (inertial measurement unit), which consists of a 3-axis gyroscope and a 3-axis accelerometer. Since the power consumption of a gyroscope is significantly larger than that of an accelerometer, to be energy-efficient, it is more preferable to use two gyro-free IMUs as alternatives. The existing gyro-free trajectory reconstruction approach is an angular velocity (i.e. \omega) -based method. The design of an \omega-free gyro-free approach remains as a research gap, which motivates this research work. In this paper, an \omega-free accelerometer pair (OFAP) method is proposed, which can yield a lower accumulated error, has a lower power consumption, is more scalable, and can deliver the same trajectory reconstruction performance as the existing approach.