基于FPGA的UWB隧道内人员定位系统设计与实现OACSTPCD
Design and implementation of UWB tunnel personnel positioning system based on FPGA
针对现阶段国内隧道施工中采用的通信定位手段通信信号不佳,无法提供精准定位信号的现象,基于现场可编辑门阵列(FPGA)为主控硬件提出一种以超宽带(UWB)定位技术为原理的无线传输定位系统,UWB定位基本原理基于三边测量算法并在后端数据处理中引入自适应卡尔曼滤波进一步提高其定位精度.该系统硬件层面具有低功耗、高效率的优点;算法层面卡尔曼滤波可以使系统达到更高精度,静态测距精度可达到0.1 m以内,动态测距精度可达到0.2 m以内.该系统可对工作人员长时间进行高精度、高效率的定位.经实验验证,该系统能够在无网络的情况下及时进行高精度跟踪定位,具有极强的鲁棒性.
The communication signal used in domestic tunnel construction is not good and fails to provide accurate positioning signal.Therefore,by taking the field-programmable gate array(FPGA)as the main control hardware,a wireless transmission positioning system based on ultra-wide band(UWB)positioning technology is proposed.The basic principle of UWB positioning is based on the trilateral measurement algorithm and the adaptive Kalman filter is introduced into the back-end data processing to further improve its positioning accuracy.At the level of hardware,the system has the advantages of low power consumption and high efficiency.At the level of algorithm,the Kalman filter can make the system achieve higher accuracy.Its static ranging accuracy can reach 0.1 m,and its dynamic ranging accuracy can reach 0.2 m.The system can position the staff for a long time with high precision and high efficiency.The experimental results show that the proposed system can track and locate personnel accurately in time without network,so it has strong robustness.
夏俊辉;李杰;罗飞舟;彭晓飞;常宏磊;于海波
中北大学 仪器与电子学院, 山西 太原 030051||中北大学 仪器科学与动态测试教育部重点实验室, 山西 太原 030051中国运载火箭技术研究院宇航业务部, 北京 100071
电子信息工程
现场可编程门阵列超宽带自适应卡尔曼滤波双边双向测距三边测量算法鲁棒性
FPGAUWBadaptive Kalman filteringtwo-way bidirectional rangingtrilateral measurement algorithmrobustness
《现代电子技术》 2024 (001)
7-13 / 7
国家自然科学基金资助项目(61973280);山西省重点研发计划项目(202003D111007);山西省基础研究计划项目(202103021224186)
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