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DOI:
飞控与探测:2023,(5):61-68
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MEMS惯性鞋式行人导航系统
(1.西安建筑科技大学 信息与控制工程学院;2.中国科学院深地资源装备技术工程实验室 中国科学院地质与地球物理研究所;3.上海航天控制技术研究所;4.浙江工业大学 机械工程学院)
MEMS Inertial Shoe-Mounted Pedestrian Navigation System
(1.School of Information & Control Engineering, Xi’an University of Architecture and Technology;2.CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences;3.Shanghai Aerospace Control Technology Institute;4.School of Mechanical Engineering,Zhejiang University of Technology)
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中文摘要: 以微机械系统(Micro-Electro-Mechanical System,MEMS)惯性器件为测量单元,搭建行人导航硬件系统并进行系统软件设计,硬件系统选用STM32F405作为核心处理器。通过分析行人脚步运动特点,设计零速修正行人导航算法,通过零速修正卡尔曼滤波器单一条件和三条件的零速检测方法进行导航姿态、速度和位置误差评估,并进行鞋式导航实物实验验证。实验结果表明,所设计的鞋式行人导航算法行之有效,并为行人导航系统实际应用指明了研究方向。
Abstract:This paper takes the micro-electro-mechanical system(MEMS) inertial device as the measurement unit to build a pedestrian navigation hardware system and design the system software. The STM32F405 is used as the core processor of the hardware system. Then, a zero-speed correction pedestrian navigation algorithm is designed by analyzing the characteristics of pedestrian foot movements. The zero-speed correction Kalman filter is used to estimate the calculation error of navigation attitude, speed and position by using a single-condition and three-condition zero-speed detection method for pedestrian walking, and the physical experiment of the shoe navigation is verified. The results show that the proposed algorithm effectively meets the navigation requirements, and indicates the research direction for the practical application of pedestrian navigation system.
文章编号:20230508     中图分类号:    文献标志码:A
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引用文本:
宋丽君,路明慧,赵思晗,周 彬,王金虎,郑普亮,刘峰秀.MEMS惯性鞋式行人导航系统[J].飞控与探测,2023,(5):61-68.