摘要
在基于接收信号强度指示(RSSI)的室内无线传感器网络定位系统中,无线信号的传播方向由于墙壁的遮挡发生变化使得RSSI测量值不准确,导致信道模型建立困难,无法实现较高的定位精度。因此,提出了一种新的环境自适应路径衰减模型,在传统对数路径模型的基础上,该模型考虑了无线信号遇到墙体时产生的反射损耗和透射损耗并推导出相应的路径衰减,在定位实验中,选取3.5 m作为最佳通信距离,采用三边测量定位算法计算得到未知节点的位置坐标。实验结果表明,所提出的基于T RL衰减多墙模型的定位精度比传统路径损耗模型提高了26.9%,室内定位效果有所提升,且有更好的环境适应性。
In the indoor wireless sensor network positioning system based on Received Signal Strength Indication(RSSI),the propagation direction of the wireless signal changes due to the occlusion of the wall,which makes the RSSI measurement inaccurate,which makes it difficult to build a channel model and cannot achieve high positioning accuracy.So,this paper proposes a new environment adaptive path attenuation model.Based on the traditional logarithmic path model,the model considers the reflection loss and transmission loss generated when the wireless signal encounters the wall,and derives the corresponding path attenuation,in the positioning experiment,3.5m is selected as the optimal communication distance,and the position coordinates of the unknown node are calculated by using the trilateration positioning algorithm.The experiment results show that the positioning accuracy of the proposed T RL attenuation multi-wall model is 26.9%higher than that of the traditional path loss model,the indoor positioning effect is improved,and it has better environmental adaptability.
作者
王新琳
王伟
Wang Xinlin;Wang Wei(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China)
出处
《单片机与嵌入式系统应用》
2022年第12期67-70,79,共5页
Microcontrollers & Embedded Systems