多路径下桃园射频信号传输特性

发布时间：2018-06-25 11:31

本文选题：传感器 + 果园　；参考：《农业工程学报》2015年02期

【摘要】：为解决无线传感器网络在桃园中的快速部署问题,该文研究了2.4 GHz无线射频信号在桃园中的传播特性。依据角度选取4条传输路径,在3种(0.5、1.5、2.5 m)典型的天线高度,同时测量丢包率和路径损耗情况,分析表明两者具有明显的相关性,天线高度和通信距离是路径损耗的主要影响因素。在天线高度为0.5和1.5 m时,可靠传输距离为6个行距(27 m);在天线高度为2.5 m时,可靠传输距离大于14个行距(63 m),因此冠层顶部为布设天线的最佳位置。对路径损耗数据进行回归分析,发现其在每种天线高度,每条传输路径下对数模型最适合作为路径损耗模型,模型的R2最大为0.945,最小为0.732。为研究节点部署于桃园任意位置时的路径损耗情况,便于节点快速灵活地部署,在3种天线高度下对路径损耗数据进行对数回归分析,R2最大为0.976,最小为0.939。最后对2组模型进行了验证,表明模型可以预测射频信号在桃园中的路径损耗情况,该文研究结果为无线传感器网络在桃园中的部署提供了参考。
[Abstract]:In order to solve the problem of rapid deployment of wireless sensor networks in Taoyuan, the propagation characteristics of 2.4 GHz wireless radio frequency signal in Taoyuan are studied in this paper. Four transmission paths are selected according to the angle, and the height of three typical antennas (0.5 ~ 1.5m) is chosen, and the packet loss rate and path loss are measured simultaneously. The analysis shows that there is a significant correlation between them. Antenna height and communication distance are the main influencing factors of path loss. When the antenna height is 0. 5 and 1. 5 m, the reliable transmission distance is 6 row spacing (27 m); is 2. 5 m) and the reliable transmission distance is more than 14 (63 m),) so the top of the canopy is the best position of the antenna. Through regression analysis of path loss data, it is found that the logarithmic model is the most suitable for path loss model under each antenna height, and the R2 of the model is 0.945 and the minimum is 0.732. In order to study the path loss of nodes deployed at any location in Taoyuan, and to facilitate the node to deploy quickly and flexibly, the logarithmic regression analysis of path loss data is carried out at three antenna heights. The maximum R ~ 2 is 0.976, and the minimum is 0.939. Finally, two groups of models are verified, which show that the model can predict the path loss of radio frequency signals in Taoyuan. The results of this paper provide a reference for the deployment of wireless sensor networks in Taoyuan.
【作者单位】：西北农林科技大学机械与电子工程学院;西北农林科技大学中国旱区节水农业研究院;中国科学院水土保持研究所;
【基金】：教育部新世纪优秀人才支持计划(NCET-12-0473) 科技部国际合作项目(2014DFG72150)
【分类号】：TP212.9;TN929.5;S662.1

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