室内环境下指数分布非对称几何统计信道模型

doi:10.3969/j.issn.1000-3428.2018.03.012

计算机工程

室内环境下指数分布非对称几何统计信道模型

周先春 ^1a,1b,1c,徐浩捷 ^1a,石兰芳²

(1.南京信息工程大学a.电子与信息工程学院; b.江苏省大气环境与装备技术协同创新中心; c.数学与统计学院,南京 210044; 2.东南大学儿童发展与学习科学教育部重点实验室,南京 210096)

收稿日期:2017-02-24 出版日期:2018-03-15 发布日期:2018-03-15
作者简介:周先春(1974—),男,副教授、博士,主研方向为信息处理、移动通信;徐浩捷,硕士;石兰芳,副教授、博士。
基金资助:
国家自然科学基金(11202106,61201444);江苏省“信息与通信工程”优势学科建设项目;江苏省高校自然科学研究项目(13KJB170016);东南大学基本科研业务费专项资金(CDLS-2016-03)。

Exponential Distribution Asymmetric Geometrical Statistical Channel Model Under Indoor Environment

ZHOU Xianchun ^1a,1b,1c,XU Haojie ^1a,SHI Lanfang²

(1a.College of Electronic and Information Engineering;1b.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology;1c.School of Mathematics and Statistics,Nanjing University of Information Science and Technology,Nanjing 210044,China;2.Key Laboratory of Child Development and Learning Science,Ministry of Education,Southeast University,Nanjing 210096,China)

Received:2017-02-24 Online:2018-03-15 Published:2018-03-15

摘要/Abstract

摘要： 室内微环境下复杂的物理环境具有不规则性,造成实际无线信道参数和理想环境下的参数值有较大差别。为此,提出一种基于散射体呈指数分布的、非对称室内传输环境的统计信道模型。推导小尺度衰落多径效应造成的角度、时间等相关无线信道参数。求解信号的TOA/AOA联合概率密度函数,以及无线信号到达角度的概率密度函数。仿真结果表明,与散射体均匀分布及对称模型相比,该模型所推导的相关无线信道参数更适用于实际信道环境。

关键词: 室内环境, 统计信道, 密度函数, 到达角度, 指数分布

Abstract: The complex physical environment in the indoor microenvironment is irregular,which makes the actual wireless channel parameters different from the parameters in the ideal environment.To this end,a statistical channel model based on the distribution of the scattered body and asymmetrical indoor transmission environment is proposed.The parameters of the radio channel related to the angle and time caused by the small scale fading multipath effect are derived.The TOA/AOA joint probability density function of the signal is derived.The probability density function of the arrival angle of the wireless signal is derived.The simulation results show that the relative wireless channel parameters derived by the model are more suitable for the actual channel environment than the uniform distribution of the scatterers and the symmetric model.

Key words: indoor environment, statistical channel, density function, angle of arrival, index distribution

中图分类号:

TN92

周先春,徐浩捷,石兰芳. 室内环境下指数分布非对称几何统计信道模型[J]. 计算机工程, doi: 10.3969/j.issn.1000-3428.2018.03.012.

ZHOU Xianchun,XU Haojie,SHI Lanfang. Exponential Distribution Asymmetric Geometrical Statistical Channel Model Under Indoor Environment[J]. Computer Engineering, doi: 10.3969/j.issn.1000-3428.2018.03.012.

https://www.ecice06.com/CN/Y2018/V44/I3/73

参考文献

参考文献［1］ERTEL R B,REED J H.Angle and Time of Arrival Statistics for Circular and Elliptical Scattering Model［J］. IEEE Journal on Selected Areas in Communications,1999,17(11):1829-1840. ［2］PETRUS P,REED J H.Geometrical-based Statistical Macrocell Channel Model for Mobile Environment［J］.IEEE Transactions on Communications,2002,50(3):495-502. ［3］周先春,黄猛.基于雨衰雪衰影响的空间信道统计模型［J］.电讯技术,2017,57(1):90-94. ［4］COTTON S L.A Statistical Model for Shadowed Body-centric Communications Channels:Theory and Validation［J］.IEEE Antennas and Propagation,2014,62(3):1416-1424. ［5］HANEDA K,JARVELAINEN J,KARTTUNEN A,et al.A Statistical Spatio-temporal Radio Channel Model for Large Indoor Environments at 60 and 70 GHz［J］.IEEE Antennas and Propagation,2015,63(6):2694-2704. ［6］PTZOLD M,HOGSTAD B O.A Space-time Channel Simulator for MIMO Channels Based on the Geometrical One-ring Scattering Mode［J］.Wireless Communications and Mobile Computing,2004,4(7):727-737. ［7］王月瑜,郭黎利.三维接收天线阵列信道模型下的空域相关性［J］.计算机工程,2008,34(12):9-11. ［8］KASHANI M A,UYSAL M,KAVEHRAD M.A Novel Statistical Channel Model for Turbulence-Induced Fading in Free-space Optical Systems［J］.Journal of IEEE Lightwave Technology,2015,33(11):2303-2312. ［9］WONG K T,WU Y I,ABDULLA M.Landmobile Radiowave Multipaths’DOA-distribution:Assessing Geometric Models by the Open Literature’s Empirical Datasets［J］.IEEE Transactions on Antennas and Propagation,2010,58(3):946-958. ［10］吕西午,刘开华,马永涛,等.结合凸优化的宽带MIMO系统接收天线选择［J］.计算机工程,2012,38(7):22-24. ［11］OLENKO A Y,WONG K T,ABDULLA M.Analytically Derived TOA-DOA Distributions of Uplink/downlink Wireless-cellular Multipaths Arisen from Scatterers with an Inverted-parabolic Spatial Distribution Around the Mobile［J］.IEEE Antennas & Wireless Propagation Letters,2003,2(1):345-348. ［12］LAURILA J,MOLISCH A F,BONEK E.Influence of the Scatterer Distribution on Power Delay Profiles and Azimuth Power Spercta of Mobile Radio Channels［C］//Proceedings of International Symposium on Spread Spectrum Techniques and Applications.Washington D.C.,USA:IEEE Press,1998:267-271. ［13］OLENKO A Y,WONG K T,QASMI S A,et al.Analytically Derived Uplink/downlink TOA and 2D-DOA Distributions with Scatterers in a 3D Hemispheroid Surrounding the Mobile［J］.IEEE Transactions on Antennas and Propagation,2006,54(9):2446-2454. ［14］PEDERSEN K I,MOGENSEN P E,FLEURY B H.Spatial Channel Characteristics in Outdoor Environments and Their Impact on BS Antenna System Performance［C］//Proceedings of Vehicular Technology Conference.Washington D.C.,USA:IEEE Press,1998:719-723. ［15］BAKTASH E,DEHGHANI M J,NASAB M R F,et al.Shallow Water Acoustic Channel Modeling Based on Analytical Second Order Statistics for Moving Transmitter/Receiver［J］.IEEE Signal Processing,2015,63(10):2533-2545. 编辑刘冰

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