• Title/Summary/Keyword: Indoor propagation prediction

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A 3-D Propagation Model Considering Building Transmission Loss for Indoor Wireless Communications

  • Choi, Myung-Sun;Park, Han-Kyu;Heo, Youn-Hyoung;Oh, Sang-Hoon;Myung, Noh-Hoon
    • ETRI Journal
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    • v.28 no.2
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    • pp.247-249
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    • 2006
  • In the development of a new wireless communications system, a versatile and accurate radio channel for indoor communications is needed. In particular, the investigation of radio transmission into buildings is very important. In this letter, we present an improved three-dimensional electromagnetic wave propagation prediction model for indoor wireless communications that takes into consideration building penetration loss. A ray tracing technique based on an image method is also employed in this study. Three-dimensional models can predict any complex indoor environment composed of arbitrarily shaped walls. A speed-up algorithm, which is a modified deterministic ray tube method, is also introduced for efficient prediction and computation.

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Adaptive Neuro-Fuzzy Inference Systems for Indoor Propagation Prediction

  • Phaiboon, S.;Phokharatkul, P.;Somkurnpanich, S.
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1865-1869
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    • 2004
  • A new model for the propagation prediction for mobile communication network inside building is presented in this paper. The model is based on the determination of the dominant paths between the transmitter and the receiver. The field strength is predicted with adaptive neuro - fuzzy inference systems (ANFIS), trained with measurements. The advantage of the ANFIS with hybrid least squares and gradient descent algorithms is fast convergence compared with original neural network. The K-means algorithm for selection of training patterns is also used. Comparison of our predicted results to measurements indicate that improvements in accuracy over conventional empirical model are achieved.

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Development of Propagation Loss Prediction Software for the Indoor V-Band Millimeterwave Communication Environments (V-밴드 밀리미터파 대역의 실내 통신환경 분석을 위한 경로손실 예측 소프트웨어 개발)

  • Chun, Joong-Chang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.1 no.1
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    • pp.35-39
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    • 2008
  • In this paper, we have developed a propagation loss prediction software with GUI (Graphic User Interface) functions, based on the geometrical ray optics model, which can predict radio parameters for the deployment of wireless indoor network. The program has two numerical modules consisted with electrical image and ray launching methods to implement UTD theory. The simulated results are compared with reported data measured in the foreign building environments for office and '一' type corridor, and measured and simulated results for the propagation loss agree with each other quite well. Simulation results for '一' type corridor and 'T' type corridor propagation environment are shown for reference.

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Wireless LAN Based Indoor Positioning Using Received Signal Fingerprint and Propagation Prediction Model (수신 신호 핑거프린트와 전파 예측 모델을 이용한 무선랜 기반 실내 위치추정)

  • Kim, Hyunsu;Bae, Jimin;Choi, Jihoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.12
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    • pp.1021-1029
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    • 2013
  • In this paper, we propose a new indoor location estimation method which combines the fingerprint technique with the propagation prediction model. The wireless LAN (WLAN) access points (APs) deployed indoors are divided into public APs and private APs. While the fingerprint method can be easily used to public APs usually installed in fixed location, it is difficult to apply the fingerprint scheme to private APs whose location can be freely changed. In the proposed approach, the accuracy of user location estimation is improved by simultaneously utilizing public and private APs. Specifically, the fingerprint method is used to the received signals from public APs and the propagation prediction model is employed to the signals from private APs. The performance of the proposed method is compared with that of conventional indoor location estimation schemes through measurements and numerical simulations in WLAN environments.

The Study of Algorithm for Communication Environment Channel Characteristic Embedded Control System and Wireless Communication (무선통신과 임베디드 제어시스템 통신환경의 채널특성 알고리즘에 관한 연구)

  • Kang, Jeong-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.3B
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    • pp.297-304
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    • 2011
  • MIMO wireless communication embedded systems, and for propagation prediction for indoor and outdoor propagation prediction program incorporates an indoor/outdoor propagation through the simulator can be predicted. This analysis technique developed by the interference between multiple transmitters and a maximum transmission distance issues, the frequency utilization efficiency for a variety of issues, including analysis and prediction becomes possible. Development of the prediction of the conventional methods, but I can consider the environmental characteristics of the ray tracing simulation software to develop and implement an efficient ray tracing, ray tracing techniques and are designed to enable tracked beam analysis of propagation characteristics using information technology by combining the theoretical characteristics of an efficient and well-reflected propagation prediction technique was employed. The frequency of domestic embedded systems, ensure the frequency characteristics and frequency of 3-5GHz band for propagation to investigate the development of local wireless communication technology-based skills needed for securing and jeonpaganseopdeung frequency management techniques to ensure the verification and verified through experiments.

Environmental Noise Prediction of Power Plants (발전소 환경소음 예측)

  • 조대승;유병호
    • Journal of KSNVE
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    • v.7 no.4
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    • pp.621-629
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    • 1997
  • For computer aided design and costruction of low noisy power plants, indoor and outdoor noise prediction program has been developed. The program utilizes the predefined data of noise sources and building materials and has the faculty to estimate the source level using the empirical formula in case of the measured data not being available. In the noise prediction, the mutual noise propagation between indoor and outdoor sites are considered. The outdoor noise source in the calculation of geometric divergence effects is modelled as the omni-directional finite line or planar source according to the source geometry and the receiving points. Outdoor noise prediction is carried out to consider the diffraction effect due to plant structures as well as the attenuation effect due to atmospheric absorption and soft ground. The results of indoor and outdoor noise prediction for a recently constructed diesel engine power plant show good agreement with the measured.

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Prediction and measurement of propagation path loss in indoor microcellular environments (실내 마이크로셀 환경에서 전파 경로손실의 예측과 측정)

  • 정백호;김채영;이숭복
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.11
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    • pp.1-8
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    • 1997
  • A prediction model is proposed to describe the path loss in propagation environment of indoor microcell. This model includes the lineal corridor for line--of-sight(LOS) and T-shaped corridor for non-line-of-sight(NLOS). In computation of receiving power the ray tracing technique based on image method is utilized and also reflected waves bounced on the walls and ceilings are considered. To check validity of the computed resuls cross checks between the predicted and measured are being made, which shows a close agreement for LOS case whereas somewhat disagreement for NLOS case. UTD technique is incorporated with propagation path determination algorithm in the treatment of NLOS case.

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3D Propagation Prediction Model for Indoor Environment (실내 환경에서의 3차원 전파예측 모델)

  • 고욱희
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.10 no.1
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    • pp.133-141
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    • 1999
  • In this paper, we present an indoor propagation prediction model which is based on a three-dimensional ray-tracing technique. In this model, instead of considering all obstacles such as furnitures and fixtures, etc., only main obstacles to the propagation such as walls, ceiling and floors are modeled as slabs with finite thickness and conductivity, and the significant phenomena of propagation are considered, so we can calculate simply and predict accurately the propagation losses. The propagating rays are considered to be reflected and transmitted specularly at the boundaries of obstacles, and diffracted at edges. The reflection and transmission losses on flat obstacles are calculated by using ray tracing method, and the diffraction losses at edges are calculated by using the uniform theory of diffraction (UTD) for finite conductivity media. The results simulated for some cases by this propagation model good agree with the measured value of pathloss.

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A Study of Indoor Radio Wave Propagation using 3D Ray Tracing Method (3차원 광선추적(Ray tracing)법을 이용한 실내 전파(傳播)특성 분석)

  • Chae, Gyoo-Soo;Lim, Joong-Soo
    • Journal of Convergence Society for SMB
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    • v.4 no.2
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    • pp.7-12
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    • 2014
  • In this study, we present the investigation results using a 3D radio wave propagation simulator in indoor environments. Previous studies treat only the path loss between the transmitter and receiver in 2D geometry. We provide the simulation results of indoor propagation prediction based on various ITU-R Recommendations. Simulation results compared here indicate that 150MHz and 2GHz frequency bands give quite different characteristics in presented indoor geometry. Since the field intensity is affected by the loss at the wall, the transmitting power level is one of the key factor for receiving power.

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Environmental Noise Prediction of Power Plants (발전소 환경소음 예측)

  • 조대승;유병호
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1997.04a
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    • pp.452-459
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    • 1997
  • For computer aided design and construction of low noisy power plants, indoor and outdoor noise prediction program has been developed. The program utilizes the predefined data of noise sources and building materials and has the faculty to estimate the source level using the empirical formula in case of the measured data not being available. In the noise prediction, the mutual noise propagation between indoor and outdoor sites are considered. The outdoor noise source in the calculation of geometric divergence effects is modelled as the omni-directional finite line or planar source according to the source geometry and the receiving points. Outdoor noise prediction is carried out to consider the diffraction effect due to plant structures as well as the attenuation effect due to atmospheric absorption and soft ground. The results of indoor and outdoor noise prediction for a recently constructed diesel engine power plant show good agreement with the measured.

  • PDF