A novel heading estimation algorithm for pedestrian using a smartphone without attitude constraints

• Published in: 2016 Fourth International Conference on Ubiquitous Positioning, Indoor Navigation and Location Based Services (UPINLBS) pp. 29 - 37
• Main Authors: Donghui Liu, Ling Pei, Jiuchao Qian, Lin Wang, Peilin Liu, Zhenjiang Dong, Siyuan Xie, Wei Wei
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2016
• Subjects: Acceleration; accelerometer; Accelerometers; Band-pass filters; Estimation; Frequency-domain analysis; Heading estimation; Magnetic sensors; pedestrian dead reckoning; smartphone
• DOI: 10.1109/UPINLBS.2016.7809947

Pedestrian Dead Reckoning is an algorithm which uses sensors such as accelerometer, gyroscope and magnetometer to provide real-time location services. Since these sensors are integrated into smartphones, smartphone based PDR system becomes an efficient alternative of indoor positioning method. Heading estimation is a crucial part of PDR system, because step length of a pedestrian can be well modelled and a slight deviation may result in huge cumulative positioning error. Several algorithms have been proposed for heading estimation, but they need the smartphone to keep relatively stationary to the pedestrian, which is inconvenient and difficult to popularize. To remedy these disadvantages, we provide a novel method of estimating moving direction of the pedestrian using data from accelerometer. It allows different smartphone holding postures and relative motion between the pedestrian and his phone. After applying this method, it's unnecessary for pedestrian to maintain the same attitude angles of the smartphone for positioning. The experiment result shows that this method performs robust and accurate results under different smartphone holding postures. The PDR assisted with this method makes a good performance of positioning under different smartphone holding postures.