Evaluation of Different Signal Propagation Models for a Mixed Indoor-Outdoor Scenario Using Empirical Data

Artemenko, Oleksandr; Nayak, Adarsh Harishchandra; Menezes, Sanjeeth Baptist; Mitschele‐Thiel, Andreas

doi:10.1007/978-3-319-25067-0_1

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…The path loss exponent h is generally set within ½1:6, 1:8 under LOS or ½4, 6 under NLOS; d ij is the Euclidean distance between the ith grid and information source (lost person) at the jth cycle, d 0 = 1 m is a reference distance for Bluetooth, and s a is the Gaussian random noise. 36 In order to better depict the attenuation of RSSI value during radio signal propagation, the NM is introduced. Thus, the correlation between EM and SSM becomes…”

Section: Definitionmentioning

confidence: 99%

Sparse sensing data–based participant selection for people finding

Tian

Tang

2019

International Journal of Distributed Sensor Networks

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With the emerging of participatory sensing, crowdsensing-based lost people finding is arising. As a special locationcentric task, participant selection is a key factor to determine success or failure of lost people finding result. Besides traditional influence, like Quality of Information contribution, candidate's spatial proximity to the lost people is crucial in participant selection procedure. In order to evaluate how possible a candidate can approach lost people, the probability distribution of their tracing points should be predicted. However, the sparse sensing data problem has been a bottleneck of estimating people's probable position. To overcome these issues, we study the problem of selecting optimal participants according to each candidate's spatial proximity and Quality of Information contribution. In the first procedure, we proposed a Received Signal Strength Indicator Positioning-Determined Compressive Sensing algorithm to interpolate missing Received Signal Strength Indicator data. Then, a location-important marking method is put forward to select a set of high-quality data for estimating missing people's location. In the third procedure, a double-condition greedy participant selection approach, which guarantees candidates' spatial proximity and Quality of Information contribution, is executed to select optimal participants. Simulation results demonstrate that the proposed mechanism outperforms the other algorithms both in accuracy of positioning and quality of uploaded sensing data.

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Section: Definitionmentioning

confidence: 99%

Sparse sensing data–based participant selection for people finding

Tian

Tang

2019

International Journal of Distributed Sensor Networks

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“…7. Determining the link reliability impacts on the choice of the most appropriate equipment to meet the needs of the system [23]- [25]. Graphs 7 e 8 show the values obtained for the system final reliability.…”

Section: Analysis Of the Systemmentioning

confidence: 99%

An Innovative Graphical Viewer Analysis Applied in a Multipoint Transmission System

Otobo

Filho

2019

IEEE Access

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Transmission systems are the basis of the communication systems process. This paper on the operationalization of its stages is little or rarely updated. Currently, interests are focused on global discussions on topics such as 5G networks, different types of modulation, data transfer rates, and the possibility of services focused mainly on offering quality to the end user. As technology changes, operating companies invest hundreds of millions in infrastructure and equipment, but almost always, the entire operating system from previous generations remains operative for years and does not receive proper attention, development of technologies, or improvements in the control of its operational efficiency, mainly from the point of view of automation technology upgrades. Therefore, it is important to reassess and optimize this infrastructure and its modus operandi in order to guarantee an extension of the useful life and to provide an economy to the operators. The main aim of the paper is to discuss the main aspects of a multipoint transmission system through a graphic technique called leveling diagram. It was applied based on a real scenario, in the city of Curitiba, a metropolis with more than two million inhabitants located in the Southern region of Brazil. The combination of this graphical technique and numerical analysis resulted in new modeling. Therefore, the main contribution of this paper is to provide a new alternative of visual analysis for transmission systems.

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“…The FSPL model is used under the assumption that the aircraft and GRS have a clear and unobstructed line-ofsight (LOS) path between them. For an aircraft located at coordinates ( , , ), the FSPL attenuation of the signal received at the i-th GRS with coordinate ( , , ) is mathematically expressed as [14]:…”

Section: Signal Attenuation Based On Fspl Propagation Modelmentioning

confidence: 99%

“…The received SNR at the m-th GRS based on Eq. (13) is m m r n SNR P P  (14) The effective SNR for the TDOA estimation between the i-th and m-th GRS pair is mathematically obtained as [16]:…”

Section: Effective Snr Between Grs Pairmentioning

confidence: 99%

Effect of Path Loss Propagation Model on the Position Estimation Accuracy of a 3-Dimensional Minimum Configuration Multilateration System

Yaro

Sha’ameri

2018

IJIE

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The 3-Dimensional (3-D) position estimation (PE) accuracy of a multilateration (MLAT) system depends on several factors one of which is the accuracy at which the time difference of arrival (TDOA) measurements are obtained. In this paper, signal attenuation is considered to be the major contributor to the TDOA estimation error and its effect based on path loss propagation model on the PE accuracy of the MLAT system is determined. The two path loss propagation models considered are: Okumura-Hata and the free space path loss (FSPL) model. The transmitter and receiver parameters used for the analysis are based on actual system used in the civil aviation surveillance. Monte Carlo simulation result based on square ground receiving station (GRS) configuration and at some randomly selected aircraft positions show that the MLAT system with the Okumura-Hata model has the highest PE error. The horizontal coordinate and altitude errors obtained considering the Okumura-Hata are 2.5 km and 0.6 km respectively higher than that obtained with the FSPL model.

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Evaluation of Different Signal Propagation Models for a Mixed Indoor-Outdoor Scenario Using Empirical Data

Cited by 9 publications

References 9 publications

Sparse sensing data–based participant selection for people finding

Sparse sensing data–based participant selection for people finding

An Innovative Graphical Viewer Analysis Applied in a Multipoint Transmission System

Effect of Path Loss Propagation Model on the Position Estimation Accuracy of a 3-Dimensional Minimum Configuration Multilateration System

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