文献类型：期刊文献

中文题名：不同频率无线信道在针叶林中的传播特性

英文题名：Propagation characteristics of different wireless channels in conifer forest

作者：冯鹏飞[1] 于新文[1] 张旭[1] 杨彦臣[1] 王纪红[2]

第一作者：冯鹏飞

机构：[1]中国林业科学研究院资源信息研究所;[2]洛阳市洛龙绿化管理所

年份：2016

卷号：45

期号：6

起止页码：713-718

中文期刊名：福建农林大学学报：自然科学版

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD_E2015_2016】；

基金：中央级公益性科研院所基本科研业务费专项资金(IFRIT201504)

语种：中文

中文关键词：无线信号;针叶林;信号传播特性;通信质量

外文关键词：wireless signal; coniferous forest; signal propagation characteristic; communication quality

分类号：S757.3

摘要：为了了解针叶林中不同频率无线信道在不同位置的传播性质，以中国林科院院内的白皮松林为例，通过信号发生器和频谱仪分别测试了不同高度水平方向、不同频率的信号传播特性以及不同高度针对某一水平测试点的传播特性.结果表明：在针叶林环境中，无线通信距离在在10-20 m时，信号强度与距离呈反比；通信距离在20-60 m时信号强度无明显规律，也无明显的衰减；通信距离超过60 m时，各频段信号强度衰减严重.433 MHz频段的无线信号强度显著高于其他频段，最适合用于针叶林环境中的无线通信.无线信号频率越高，信号波动越小，信号衰减越明显.本研究得出的针叶林中不同频率无线信道的传播特性为传感器网络在林中的部署提供了重要参考，对林业物联网组网研究与应用有重要意义.
Wireless channel environment exerts an important influence on the quality of wireless communication, of which propagation characteristics of wireless signal channels in the forest play a decisive role. To understand the propagation properties of radio channels, signal propagation characteristics at different frequencies, heights and distances were tested in coniferous forest environment, white pine forest in Chinese Academy of Forestry. The results showed that signal strength was inversely proportional to distance within 10-20 m. Within the distance between 20 and 60 m, signal intensity did not attenuate much but the disproportional relationship with distance was not obvious. The signal intensity of each band attenuated significantly when it was over 60 m. Signal intensity at 433 MHz band was significantly higher than other bands, which was most suitable for wireless communication in forestry environment. The higher the frequency got, the smaller range the signal fluctuated, however, attenuation became stronger. To summarize, propagation characteristics of wireless channels at different frequencies provided an important reference for development of wireless sensor network, and of important significance for the application of forestry network of things.