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基于惯性测量单元的智能手机行人导航算法辅助下的实时运动控制

RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones.

作者信息

Niu Zun, Nie Ping, Tao Lin, Sun Junren, Zhu Bocheng

机构信息

School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China.

出版信息

Sensors (Basel). 2019 Jul 22;19(14):3228. doi: 10.3390/s19143228.

Abstract

Real-time kinematic (RTK) technique is widely used in modern society because of its high accuracy and real-time positioning. The appearance of Android P and the application of BCM47755 chipset make it possible to use single-frequency RTK and dual-frequency RTK on smartphones. The Xiaomi Mi 8 is the first dual-frequency Global Navigation Satellite System (GNSS) smartphone equipped with BCM47755 chipset. However, the performance of RTK in urban areas is much poorer compared with its performance under the open sky because the satellite signals can be blocked by the buildings and trees. RTK can't provide the positioning results in some specific areas such as the urban canyons and the crossings under an overpass. This paper combines RTK with an IMU-based pedestrian navigation algorithm. We utilize attitude and heading reference system (AHRS) algorithm and zero velocity update (ZUPT) algorithm based on micro electro mechanical systems (MEMS) inertial measurement unit (IMU) in smartphones to assist RTK for the sake of improving positioning performance in urban areas. Some tests are carried out to verify the performance of RTK on the Xiaomi Mi 8 and we respectively assess the performances of RTK with and without the assistance of an IMU-based pedestrian navigation algorithm in urban areas. Results on actual tests show RTK with the assistance of an IMU-based pedestrian navigation algorithm is more robust and adaptable to complex environments than that without it.

摘要

实时动态(RTK)技术因其高精度和实时定位而在现代社会中得到广泛应用。安卓P的出现以及BCM47755芯片组的应用使得在智能手机上使用单频RTK和双频RTK成为可能。小米8是首款配备BCM47755芯片组的双频全球导航卫星系统(GNSS)智能手机。然而,与在开阔天空下的性能相比,RTK在城市地区的性能要差得多,因为卫星信号会被建筑物和树木遮挡。RTK在一些特定区域,如城市峡谷和立交桥下的十字路口,无法提供定位结果。本文将RTK与基于惯性测量单元(IMU)的行人导航算法相结合。我们利用智能手机中基于微机电系统(MEMS)惯性测量单元(IMU)的姿态和航向参考系统(AHRS)算法以及零速更新(ZUPT)算法来辅助RTK,以提高其在城市地区的定位性能。进行了一些测试以验证小米8上RTK的性能,并且我们分别评估了在城市地区有和没有基于IMU的行人导航算法辅助时RTK的性能。实际测试结果表明,与没有基于IMU的行人导航算法辅助的RTK相比,有该算法辅助的RTK在复杂环境中更稳健且适应性更强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee2c/6679541/21480d5bc5ae/sensors-19-03228-g001.jpg

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