改进TDOA算法的UWB室内定位系统设计

提出了一种基于UWB的无线传感器网络室内定位系统的设计方案.通过锚节点与标签节点信息交互,得到时间差,通过nRF24L01把时间差传送给上位机,上位机利用改进的TDOA算法和卡尔曼滤波算法,计算出目标物体的位置,并在上位机中显示出来.实验结果表明,该系统最终使得室内定位的达到了20 cm左右,并且抗多径能力强、稳定性高,为无线网络传感器定位提供了更多的参考.

UWB Indoor Positioning System Based on Improved TDOA Algorithm

In the paper,an indoor positioning system based on UWB wireless sensor network is proposed.the time difference is obtained through the interaction between the anchor node and the label node information,which is transmitted to the host computer by the nRF24L01.The host computer calculate the position of the target object using the improved TDOA algorithm and calman filtering algorithm,and is displayed in the computer.The experiment results show that the system ultimately makes the indoor positioning is about up to 20 cm or so,the system has anti-multipath capability and high stability,it provides more reference for the wireless sensor network positioning.