SDE Model for Wave Propagation Prediction in Complex Environments

Lu Guizhen, Cao Zhi
{"title":"SDE Model for Wave Propagation Prediction in Complex Environments","authors":"Lu Guizhen, Cao Zhi","doi":"10.4172/0976-4860.1000203","DOIUrl":null,"url":null,"abstract":"The accurate prediction for wave propagation field is very important in wireless communication, which can improve the quality in the wireless communication. However, the field prediction in complex environments is a not easy problem. In order to improve the accuracy of field prediction, many methods are presented. The stochastic differential (SDE) method is presented to study the wave propagation in the complexed environment. First, the SDE model is constructed for the wave propagation. Then the simulation parameters in the SDE model are explained and determined to improve the loss prediction of wave propagation. The field experiment is performed in the Guomao and Xijiao area in Beijing. The SDE method is used to analyze the experiment data. The simulation is performed and the simulation results show the SDE model can give more reasonable prediction for the complexed propagation environment.","PeriodicalId":90538,"journal":{"name":"International journal of advancements in computing technology","volume":"50 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of advancements in computing technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/0976-4860.1000203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

The accurate prediction for wave propagation field is very important in wireless communication, which can improve the quality in the wireless communication. However, the field prediction in complex environments is a not easy problem. In order to improve the accuracy of field prediction, many methods are presented. The stochastic differential (SDE) method is presented to study the wave propagation in the complexed environment. First, the SDE model is constructed for the wave propagation. Then the simulation parameters in the SDE model are explained and determined to improve the loss prediction of wave propagation. The field experiment is performed in the Guomao and Xijiao area in Beijing. The SDE method is used to analyze the experiment data. The simulation is performed and the simulation results show the SDE model can give more reasonable prediction for the complexed propagation environment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
复杂环境中波传播预测的SDE模型
在无线通信中,波传播场的准确预测是提高无线通信质量的重要手段。然而,复杂环境下的现场预测并不是一件容易的事情。为了提高现场预测的精度,提出了多种方法。提出了用随机微分(SDE)方法研究复杂环境中波的传播问题。首先,建立了波传播的SDE模型。然后对SDE模型中的仿真参数进行了解释和确定,以提高对波传播损耗的预测。田间试验在北京国贸和西郊地区进行。采用SDE方法对实验数据进行分析。仿真结果表明,对于复杂的传播环境,SDE模型能给出更合理的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Experimental Parameter Identification for Moving Base Nonholonomic Robot Consisting Primary Joints Editorial note :International Journal of Advancements in Technology Bone substitute biomaterials Introductory Guide to Collaborative Robots Multi-Agent-Based Performance Analysis of Classifiers for Breast Tumours
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1