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基于惯性导航与超宽带的行人协同定位研究

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基于惯性导航与超宽带测距,文章研究了GNSS信号受干扰情况下的行人协同定位技术,采用了一种协同导航算法,其可以在行人导航解算的基础上,获得单人导航的位置信息,并在UWB测距得到的相对观测值的基础上,通过扩展卡尔曼滤波算法对各个行人的位置信息进行交互融合,最终得到目标的理想位置信息。行人导航实验表明,该方法能够提升系统定位精度,并进一步增强系统的稳定性与可靠性。
Research on pedestrian cooperative localization based on inertial navigation and ultra-wideband
Based on inertial navigation and ultra-wideband(UWB),this paper studies the pedestrian cooperative localization technology in the case of GPS signal interference.In this paper,a cooperative navigation algorithm is used,which can obtain the position information of single person based on the calculation of pedestrian navigation,and on the basis of the relative observation value obtained by UWB ranging,the extended Kalman filter algorithm is used to interactively fuse the position information of each pedestrian,and finally the ideal position information of the target is obtained.The pedestrian navigation experiments show that this method can improve the positioning accuracy of the system,and further strengthen the stability and reliability of the system.

pedestrian navigationultra-widebandcooperative localizationextended kalman filter

邢博晏、严肃、杨淑媛、张帅朋、王廉杰、徐向波

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北京林业大学,北京 100083

行人导航 超宽带测距 协同定位 扩展卡尔曼滤波

北京林业大学国家级大学生创新创业训练计划

20221022044

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(1)
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