基于Inverted-Parabolic分布的空间统计信道模型

doi:10.3969/j.issn.1000-436x.2014.03.005

通信学报 ›› 2014, Vol. 35 ›› Issue (3): 38-46.doi: 10.3969/j.issn.1000-436x.2014.03.005

基于Inverted-Parabolic分布的空间统计信道模型

周杰^1,²,徐冬冬¹,菊池久和^1,²

¹ 南京信息工程大学气象探测与信息处理重点实验室，江苏南京 210044
² 日本国立新泻大学工学部，新泻 950-2181

出版日期:2014-03-25 发布日期:2017-08-17
基金资助:
国家自然科学基金资助项目;科技部公益性行业专项基金资助项目;江苏省科技支撑计划（工业）基金资助项目;江苏省高校自然科学科学研究计划基金资助项目;教育部留学基金委启动基金资助项目;江苏省六大高峰人才基金资助项目;江苏省博士后基金资助项目

Geometrical statistical channel model with an Inverted-Parabolic spatial distribution

Jie ZHOU^1,²,Dong-dong XU¹,Kikuchi HISAKAZU^1,²

¹ College of Electronic ＆ Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;
² Department of Electronic and Electrical Engineering,Niigata University,Niigata 950-2181,Japan

Online:2014-03-25 Published:2017-08-17
Supported by:
The National Natural Science Foundation of China;Non-profit Industry Fund by Ministry of Science and Technology of P.R.C;The Scientific ＆ Technological Support Project(Industry) of Jiangsu Province;Project Sponsored by Jiangsu Provincial Research Scheme of Natural Science for Higher Education Institute;The National Overseas Study Support Foundation Item;The Six Kinds of Top Talent Fund of Jiangsu Province;Jiangsu Postdoctoral Foundation Fund

摘要/Abstract

摘要：

针对在非均匀散射体分布下信号到达角度、到达时间以及多普勒效应等信道参数估计的复杂性，提出一种合理的空间信道模型，并引入几何分割法导出基于散射体Inverted-Parabolic分布的空间统计信道模型。模型能方便地估计室外宏小区和微小区移动通信环境下各种重要的空时信道参数，如AOA、TOA概率分布密度函数和多普勒功率谱以及信号的空—时相关性。数值结果与均匀散射体圆模型和高斯散射体圆模型对比表明本模型的信道参数估计结果符合理论和经验，且与实测结果吻合较好。在基站设计采用指向性天线时研究了移动台MS的多普勒效应，修正了Clarke U-shaped经典模型，阐明了天线主瓣宽度2α、空间模型参数D/R和MS移动参数影响信道参数的机理。

关键词: 电波传播, 空时信道模型, 单反射圆模型/椭圆模型, 到达角度, 到达时间, 多普勒效应

Abstract:

Due to the complexity of calculation for the parameters of angle of arrival(AOA),time of arrival(TOA) and Dopplerspectra(DS),etc.,a proper geometrical statistical channel model was proposed with inverted-parabolic spatial distribution around mobile station(MS) by using geometric partitioning method.Closed-form expressions for probability density functions(PDF) of AOA ,TOA and DS in the outdoor macrocell and microcell wireless environments were derived.Compared with the uniform and Gaussian scatter density model,the observed results consist with previous theory and experience.In addition,the Doppler spectra at the MS was also presented and the Clarke U-shaped model was modified.Employing the channel model,the effect of directional antenna was analyzed with the main-lobe width 2α at the BS and D/R and φ .v

Key words: radio propagation, geometrical channel model, circular and elliptical scattering models, angle of arrival, time of arrival, Doppler spectra

周杰,徐冬冬,菊池久和. 基于Inverted-Parabolic分布的空间统计信道模型[J]. 通信学报, 2014, 35(3): 38-46.

Jie ZHOU,Dong-dong XU,Kikuchi HISAKAZU. Geometrical statistical channel model with an Inverted-Parabolic spatial distribution[J]. Journal on Communications, 2014, 35(3): 38-46.

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参考文献 22

[1]	MOHAMMAD A S . Generalized Three Dimensional Geometrical Scattering Channel Model for Indoor and Outdoor Propagation Environments[D]. University of Manitoba, Winnipeg,Manitoba, 2010.
[2]	BALTZIS K B . On the geometric modeling of the uplink channel in a cellular system[J]. Journal of Engineering Science and Technology Review, 2008,1(11): 75-82.
[3]	BALTZIS K B , SAHALOS J N . A simple 3D geometric channel model for macrocell mobile communication[J]. Wireless Pers Commun, 2008,51(2): 329-347.
[4]	WU Y I , WONG K T . A geometrical model for the TOA distribution of uplink/downlink multi-paths assuming scatterers with a conical spatial density[J]. IEEE Antennas and Propagation Magazine, 2008,50(6): 196-205.
[5]	WU Y I , WONG K T . Polarization-sensitive geometric modeling of the distribution of direction-of-arrival for uplink multi-paths[J]. IET Microwaves Antennas ＆ Propagation, 2011,5(1): 95-101.
[6]	PETRUS P , REED J H , RAPPAPORT T S . Geometrical-based statistical macrocell channel model for mobile environment[J]. IEEE Trans Commun, 2002,50(3): 495-502.
[7]	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.
[8]	JANASWAMY R . Angle and time of arrival statistics for the Gaussian scatter density model[J]. IEEE Transactions on Wireless Communications, 2002,1(3): 488-497.
[9]	JIANG L , TAN S Y . Geometrically based statistical channel models for outdoor and indoor propagation environments[J]. IEEE Transactions on Vehicular Technology, 2007,56(6): 3587-3593.
[10]	JIANG L , TAN S Y . Geometrically based power azimuth spectrum models for mobile communication systems[J]. Microwave and Optical Technology Letters, 2007,49(9): 2093-2097.
[11]	OLENKO A Y , WONG K T , ABDULLA M . Analytically derived TOA-DOA distributions of uplink/downlink wireless cellular multi-paths arisen from scatteress with an inverted-parabolic spatial distribution around the mobile[J]. IEEE Signal Processing Letter, 2005,12(7): 516-519.
[12]	PEDERSEN K I , MOGENSEN P E , FLEURY B H . A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments[J]. IEEE Trans Veh Technol, 2000,49(2): 437-447.
[13]	LEUNG J . Hybrid Waveguide Theory-Based Modeling of Indoor Wireless Propagation[D]. University of Toronto, 2009.
[14]	MITTAL A , BHATTACHARJEE R , PAUL B S . Angle and time of arrival statistics for a far circular scattering model[A]. Proc of NCC2009[C]. 2009. 141-145.
[15]	KONG S H . TOA and AOD statistics for down link Gaussian scatterer distribution model[J]. IEEE Transactions on Wireless Communications, 2009,8(5): 2609-2617.
[16]	KHAN N M , SIMSIM M T , RAMER R . Modeling spatial aspects of mobile channel for macrocells using Gaussian scattering distribution[A]. Proc of 8th International Conference on Telecommunications[C]. 2005.
[17]	INTARAPANICH A , KAFLE P L , DAVIES R J , et al. Geometrically based broadband MIMO model with tap-gain correlation[J]. IEEE Transactions on Vehicular Technology, 2007,56(6): 3631-3641.
[18]	MAHMOUD S S , HUSSAIN Z M , SHEA P O . Geometrical model for mobile radio channel with hyperbolically distribution scatterers[A]. Proc of ICCS2002[C]. 2002. 17-20.
[19]	LUO F , DU M H . AOA and TOA estimation based on an enhanced circular scattering model[J]. Chinese Journal of Radio Science, 2007,22(5): 799-803.
[20]	ZHOU J , ONOZATO Y , KIKUCHI H . Distribution of ISR and its optimization in performance evaluation of forward link in cellular mobile radio systems[J]. IEICE Trans on Communications, 2002,85(8): 1479-1489.
[21]	ZHOU J , CHUNMEI L , LIN Q , et al. Geometrical statistical channel model arisen from scatterers around the mobile with an inverted-parabolic spatial distribution[J]. Journal of China Universities of Posts and Telecommunications, 2012,19(5): 1-8.
[22]	ANDREA G . Wireless Communications[M]. Cambridge: Cambridge Press, 2005.

模型	TOA相对误差
均匀分布圆模型	0.146
本文几何模型	0.070
高斯圆模型	0.058

基于Inverted-Parabolic分布的空间统计信道模型

Geometrical statistical channel model with an Inverted-Parabolic spatial distribution

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