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Research on Robust PDR Algorithm Based on Smart Phone

机译:基于智能手机的鲁棒PDR算法研究

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In recent years, the demand for location based service has promoted the rapid development of pedestrian navigation and positioning technology. Among them, Pedestrian Dead Reckoning (PDR) based on inertial sensor can greatly improve the robustness of indoor and outdoor pedestrian navigation system due to its environment-friendly. This paper designs a robust PDR algorithm based on smart phone. This paper constructs multi-level constraints based on INS algorithm and establishing observation equation needed by EKF using the mutually complementary relationship among sensors, such as gyroscope accelerometer and magnetometer, and human dynamic model. The cumulative error of the system is less than 2% of the traveling distance when using different intelligent terminals, holding on hand both in indoor and outdoor test.
机译:近年来,基于地点的服务需求促进了行人航行和定位技术的快速发展。其中,基于惯性传感器的行人死亡(PDR)可以大大提高由于环保型环保系统的鲁棒性和室外行人导航系统。本文设计了一种基于智能手机的强大PDR算法。本文基于INS算法构建多级约束,并使用传感器之间的相互互补关系建立EKF所需的观察方程,如陀螺仪加速度计和磁力计,以及人的动态模型。当使用不同的智能终端时,系统的累积误差小于行驶距离的2%,在室内和室外测试中持有。

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