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PDR与UWB融合的森林消防员定位系统设计

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针对森林消防员在林区环境下由于全球导航卫星系统(GNSS)定位拒止及惯性导航误差累积而难以精确定位的问题,设计了一种融合行人航位推算(PDR)和超宽带(UWB)测距的定位系统.首先,基于消防员个体装备的便携性要求,利用加速度计、磁强计、陀螺仪和气压计设计头戴式定位系统;其次,将指挥员作为基站,利用UWB测得消防员与基站之间的距离;接着,基于扩展卡尔曼滤波(EKF)设计了PDR与UWB融合的定位算法,将测距信息与消防员的运动状态进行融合解算,约束误差发散;最后,利用设计的软硬件定位系统进行了验证实验.结果表明:在真实林区实验中,与无约束PDR相比,采用PDR与UWB融合的定位方法将位置误差减小了60.04%,有效提升了系统的定位精度.
Design of forest firefighter positioning system fusing PDR and UWB
Aiming at the problem that it is difficult to obtain accurate position information for firefighters in forest environments caused by global navigation satellite system (GNSS )denial and cumulative errors in inertial navigation,a positioning system fusing pedestrian dead reckoning (PDR )and ultra-wideband (UWB )ranging technology is designed. Firstly,a head-mounted positioning system is designed utilizing accelerometers, magnetometers,gyroscopes,and barometers based on the portability requirements of firefighter personal equipment. Secondly,the distance between the firefighter and the base station is measured by UWB using the commander as the base station. Furthermore,a positioning algorithm fusing PDR and UWB is designed based on extended Kalman filtering(EKF),fusion solution are carried out on the ranging information with firefighter's motion states,thereby constraining error divergence. Finally,a verification experiment is carried out with the designed software and hardware positioning system. The results show that in the real forest area experiment,the positioning method fusing PDR and UWB reduces the position error by 60. 04% compared with the unconstrained PDR algorithm,effectively improve the positioning precision of the system.

pedestrian positioningpedestrian dead reckoningextended Kalman filtering(EKF)ultra-wideband (UWB)rangingcombined navigation

吴桐、徐向波、高森宇、楚娅妮、郭宁雁

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北京林业大学工学院,北京 100083

北京邮电大学信息与通信工程学院,北京 100876

行人定位 行人航迹推算 扩展卡尔曼滤波 超宽带测距 组合导航

国家自然科学基金资助项目

32371868

2024

传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
年,卷(期):2024.43(7)
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