期刊文献+

一种采用足部航姿参考和肩部航向参考的室内个人导航方法(英文) 被引量:9

Improved indoor pedestrian navigation method using low-cost foot-mounted AHRS and shoulder-mounted compass
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摘要 为了解决传统足部航姿参考系统中航向信息可观性较差的问题,提出了一种采用足部航姿参考系统和肩部电子罗盘的室内个人导航方法。在这种模式下,肩部电子罗盘测量得到的航向信息被直接用于计算足部航姿参考系统的姿态转移矩阵。在此基础上,通过在行人在行走过程中足部处于静止状态时采用卡尔曼滤波器被用来限制惯性导航系统的误差漂移。实验结果显示,本文提出的方法平均位置误差与不使用肩部电子罗盘的方法相比降低了30%左右。 Aiming at the problem of poor observability of yaw measurement for foot-mounted attitude heading reference systems(AHRS),an indoor pedestrian navigation method by using low cost foot-mounted AHRS and shoulder-mounted compass is proposed.In this method,the yaw measured from the shoulder-mounted compass is directly used for the calculation of the attitude transformation matrix for the foot-mounted AHRS.And then,when the person is in a stance phase during walk,a Kalman filter(KF) is used to restrict the INS error drift.Experimental results show that the proposed method can effectively reduce the mean error of the position by about 30% compared with that without the shoulder-mounted compass.
出处 《中国惯性技术学报》 EI CSCD 北大核心 2016年第3期325-329,共5页 Journal of Chinese Inertial Technology
基金 国家自然科学基金资助项目(50975049,41204025,51375087) 山东省自然科学基金项目(ZR2014FP010) 济南大学博士基金项目(XBS1503)
关键词 室内行人导航 惯性导航系统 卡尔曼滤波 航向偏移 足部航姿参考系统 indoor pedestrian navigation inertial navigation system Kalman filter yaw drift foot-mounted attitude heading reference system
作者简介 徐元(1985-),男,讲师,博士,从事组合导航研究。E-mail:xy_abric@126.com 陈熙源(1969-),男,教授,博士生导师。E—mail:chxiyuan@seu.edu.cn
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参考文献11

  • 1Puyol M G,Bobkov D,Robertson P,et al.Pedestrian simultaneous localization and mapping in multistory buildings using inertial sensors[J].IEEE Transactions on Intelligent Transportation Systems,2014,15(4):1714-1727.
  • 2Zhang Z Q,Meng X.Use of an Inertial/Magnetic sensor module for pedestrian tracking during normal walking[J].IEEE Trans on Instrument and Measurement,2015,64(3):776-783.
  • 3张金亮,秦永元,梅春波.基于MEMS惯性技术的鞋式个人导航系统[J].中国惯性技术学报,2011,19(3):253-256. 被引量:57
  • 4Ali A,El-Sheimy N.Low-cost MEMS-based pedestrian navigation technique for GPS-denied areas[J].Journal of Sensors,2013:1-10.
  • 5Renaudin V,Susi M,Lachapelle G.Step length estimation using handheld inertial sensors[J].Sensors,2012,2012(12):8507-8525.
  • 6Shin S H,Park C G,Kim J W,et al.Adaptive step length estimation algorithm using low-cost MEMS inertial sensors[C]//Proceedings of IEEE Sensors Applications Symposium.San Diego,2007:1-5.
  • 7Bird J,Arden D.Indoor navigation with foot-mounted strapdown inertial navigation and magnetic sensors[J].IEEE Wireless Communications,2011,18(2):28-35.
  • 8Foxlin E.Pedestrian tracking with shoe-mounted inertial sensors[J].IEEE Computer Graphics and Applications,2005,25(6):38-46.
  • 9谢波,江一夫,严恭敏,任宏科.个人导航融合建筑平面信息的粒子滤波方法[J].中国惯性技术学报,2013,21(1):1-6. 被引量:15
  • 10Feng Wenquan,Zhao Hongbo,Zhao Qi,Li Jingwen.Integration of GPS and low cost INS for pedestrian navigation aided by building layout[J].Chinese Journal of Aeronautics,2013,26(5):1283-1289. 被引量:8

二级参考文献40

  • 1马瑞平,魏东,张明廉.一种改进的自适应卡尔曼滤波及在组合导航中的应用[J].中国惯性技术学报,2006,14(6):37-40. 被引量:21
  • 2孙丽,秦永元.捷联惯导系统姿态算法比较[J].中国惯性技术学报,2006,14(3):6-10. 被引量:48
  • 3Krach B, Roberston P. Cascaded estimation architecture for integration of foot-mounted inertial sensors[C]//IEEE Position Location and Navigation Symposium. Monterey, 2008: 112-119.
  • 4Ojeda L, Borenstein J. Non-GPS navigation for security personnel and first responders[J]. The Journal of Navigation, 2007, 60(3): 391-407.
  • 5Feliz R, Zalama E. Pedestrian tracking using inertial sensors[J]. Journal of Physical Agents, 2009(3): 35-43.
  • 6Leardini A., Benedetti M G., Berti L. Rear-foot, mid-foot and fore-foot motion during the stance phase of gait[J]. Gait & Posture, 2007, 25: 453-462.
  • 7Cho S Y, Park C G. MEMS based pedestrian navigation system[J]. The Journal of Navigation, 2006, 59: 135-153.
  • 8Veltink P H, Bussmann H B, Martens W L. Detection of static and dynamic activities using uniaxialacce- lerometers[J]. IEEE Transaction on Rehabilitation Engineering, 1996(4): 375-385.
  • 9Foxlin E. Pedestrian tracking with shoe-mounted inertial sensors[J]. IEEE Computer Graphics and Applications, 2005, 25 (6): 38-46.
  • 10Abdulrahim K, Hide C, Moore T, et al. Aiding MEMS IMU with building heading for indoor pedestrian navigation[C]// Ubiquitous Positioning Indoor and Location Based Service (UPINLBS 2010). Krikkonummi, Finland, October 14-15, 2010.

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