Segmented-Locally-One-Dimensional-FDTD Method for EM Propagation Inside Large Complex Tunnel Environments

Rana, Masud; Mohan, A.S.

doi:10.1109/tmag.2011.2177075

Cited by 33 publications

(27 citation statements)

References 12 publications

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“…The fundamental strength of the proposed approach is the simplification of the calculation to deal with this electromagnetic problem. Nowadays other recent attempts to deal with these structures are emerging and they are still under development [52,55].…”

Section: Analysis and Discussionmentioning

confidence: 99%

Electromagnetic Wave Propagation Modeling for Finding Antenna Specifications and Positions in Tunnels of Arbitrary Cross-Section

Castiblanco¹,

Seetharamdoo²,

Berbineau³

et al. 2013

Wave Propagation Theories and Applications

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Section: Analysis and Discussionmentioning

confidence: 99%

Electromagnetic Wave Propagation Modeling for Finding Antenna Specifications and Positions in Tunnels of Arbitrary Cross-Section

Castiblanco¹,

Seetharamdoo²,

Berbineau³

et al. 2013

Wave Propagation Theories and Applications

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“…Theoretical models, also called deterministic approaches, are based on the physical phenomena of radio wave propagation. There are different types of theoretical methods: multi-ray models taking into account transmitted and reflected rays [14], [15], and digital or discrete models depending on Maxwell's equations [16], [17]. But in practice, the implementation of deterministic models usually requires a huge knowledge of the field, which is sometimes nearly impossible to obtain in some cases.…”

Section: Prediction Models For Wireless Networkmentioning

confidence: 99%

Slope-based Empirical Path Loss Prediction Models for rural networks at 2.4 GHz

Fendji

Mafai²,

Nlong³

2019

TNC

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Despite the plethora of works on empirical path loss prediction in wireless networks, just a little is addressing rural environments. In this work, we consider slope-based empirical path loss models in wireless networks at 2.4 GHz using off-the-shelf 802.11n (one transmitter and two receivers at 150Mbp and 300Mbps). We define three scenarios usually observed in rural environment. Subsequently, we do a measurement campaign and compare results to selected prediction models. We later propose a new model based on Liechty model. The new model is compared to Liechty model in Non-Line of Sight (NLOS) and combined (LOS and NLOS) scenarios. The Liechty model provided a better prediction in NLOS scenario while the new model outperforms in combined scenario. In addition, we observe that the data rate also influences the prediction. Especially in free space scenarios, the receiver with the greater data rate provides a smaller mean error and standard deviation.

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“…The current state of the art of wireless communications and propagation modelling in underground mines can be found in [6,7]. The existing methods can be classified as: Numerical methods for solving Maxwell equations [8,9]; Waveguide based channel models [10,11]; Ray tracing based channel models [12]; and Empirical path loss modelling. The approach presented in this article falls in the latter domain.…”

Section: Related Workmentioning

confidence: 99%

“…The model parameters were estimated in four simulations for different number of anchor points [19,14,9,4] N  . In the simulations with N=19, N=14 and N=9 the distance between points were distributed uniformly on a stretch of 300m.…”

Section: Figure 3 Path Loss Of Noisy Signal Sample and Estimations Mamentioning

confidence: 99%

An Approach for Self-Adaptive Path Loss Modelling for Positioning in Underground Environments

Osipov

Kleyko

Shapin

2016

International Journal of Antennas and Propagation

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This paper proposes a real-time self-adaptive approach for accurate path loss estimation in underground mines or tunnels based on signal strength measurements from heterogeneous radio communication technologies. The proposed model features simplicity of implementation. The methodology is validated in simulations and verified by measurements taken in real environments. The proposed method leverages accuracy of positioning matching the existing approaches while requiring smaller engineering efforts.

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Segmented-Locally-One-Dimensional-FDTD Method for EM Propagation Inside Large Complex Tunnel Environments

Cited by 33 publications

References 12 publications

Electromagnetic Wave Propagation Modeling for Finding Antenna Specifications and Positions in Tunnels of Arbitrary Cross-Section

Electromagnetic Wave Propagation Modeling for Finding Antenna Specifications and Positions in Tunnels of Arbitrary Cross-Section

Slope-based Empirical Path Loss Prediction Models for rural networks at 2.4 GHz

An Approach for Self-Adaptive Path Loss Modelling for Positioning in Underground Environments

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