Industrial Indoor Multipath Propagation - A Physical-Statistical Approach

被引:0
|
作者
Cheffena, Michael [1 ]
机构
[1] Gjovik Univ Coll, Teknol 22, N-2815 Gjovik, Norway
关键词
Indoor propagation; multipath; wireless; industrial environment; MODEL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this work, a novel physical-statistical technique for simulating the industrial indoor multipath propagation is proposed. The indoor propagation environment is described by a cubic volume in a rectangular coordinate system. The clustering behavior of the multipath components is modeled by defining circular spaces within the propagation environment containing uniformly distributed scatterers. Each scatter within a cluster is modeled as a finite lossy dielectric cylinder with a given size, orientation, and material type. A step-by-step method for simulating the industrial indoor multipath channel impulse response is provided. The power-delay-profiles (PDP) obtained by the developed method is consistent with the Saleh-Valenzuela model and with reported indoor measurement results. The advantages of the proposed technique is that large scenarios might be simulated more effectively than using purely physical methods and could also be more accurate than empirical models as it takes into account the material type, size, orientation and density of the scatterers.
引用
收藏
页码:68 / 72
页数:5
相关论文
共 50 条
  • [21] Modeling and forecasting energy consumption for heterogeneous buildings using a physical-statistical approach
    Lu, Xiaoshu
    Lu, Tao
    Kibert, Charles J.
    Viljanen, Martti
    APPLIED ENERGY, 2015, 144 : 261 - 275
  • [22] Parametrizing the mesoscale enhancement of oceanic surface turbulent fluxes: A physical-statistical approach
    Blein, Sebastien
    Roehrig, Romain
    Voldoire, Aurore
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2022, 148 (745) : 1683 - 1708
  • [23] A physical-statistical model for density control of nanowires
    Dasgupta, Tirthankar
    Weintraub, Benjamin
    Joseph, V. Roshan
    IIE TRANSACTIONS, 2011, 43 (04) : 233 - 241
  • [24] Distributed air conditioning control in commercial buildings based on a physical-statistical approach
    Ghofrani, Ali
    Jafari, Mohsen A.
    ENERGY AND BUILDINGS, 2017, 148 : 106 - 118
  • [25] A physical-statistical approach to match passive microwave retrieval of rainfall to Mediterranean climatology
    Pulvirenti, L
    Pierdicca, N
    Marzano, FS
    Castracane, P
    d'Auria, G
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (10): : 2271 - 2284
  • [26] PHYSICAL-STATISTICAL ANALYSIS OF THE GLOBAL CLOUDINESS FIELD
    MATVEYEV, YL
    MATVEYEV, LT
    IZVESTIYA AKADEMII NAUK SSSR FIZIKA ATMOSFERY I OKEANA, 1984, 20 (11): : 1042 - 1054
  • [27] A physical-statistical approach to match spaceborne microwave radiometric retrieval of rainfall to Mediterranean climatology
    Pulvirenti, L
    Castracane, P
    d'Auria, G
    Pierdicca, N
    Marzano, FS
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 3062 - 3064
  • [28] Physical-Statistical Model of Thermal Conductivity of Nanofluids
    Usowicz, B.
    Usowicz, J. B.
    Usowicz, L. B.
    JOURNAL OF NANOMATERIALS, 2014, 2014
  • [29] A physical-statistical model for the growth process of carbon nanotubes
    Fan, Mengqi
    Wu, Su
    Xu, Chi
    APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2018, 124 (11):