Localization Approach Based on Ray-Tracing Including the Effect of Human Shadowing

Gómez, Josefa; Tayebi, Abdelhamid; Adana, Francisco Sáez de; Gutiérrez, O.

doi:10.2528/pierl10030908

Cited by 15 publications

(9 citation statements)

References 15 publications

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“…The resulting indoors accuracy is considered to be satisfactory, but onsite calibration measurements are not practical, and some times not possible. Alternatively, onsite RSS propagation model estimation may be used in order to leverage indoor accuracy [15,30,31]. In outdoor cases, topographical maps and propagation-prediction tools, as well as statistical modeling, neural networks and particle filters have been used instead of RSS pre-measurements [2,14,22,32,[33][34][35][36][37][38].…”

Section: Localization Techniques -Overviewmentioning

confidence: 99%

Indoor Localisation With Wireless Sensor Networks

Mitilineos¹,

Kyriazanos²,

Segou³

et al. 2010

PIER

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Abstract-Wireless Sensor Networks (WSNs) have attracted a great deal of research interest during the last few years. Potential applications make them ideal for the development of the envisioned world of ubiquitous and pervasive computing. Localization is a key aspect of such networks, since the knowledge of a sensor's location is critical in order to process information originating from this sensor, or to actuate responses to the environment, or to infer regarding an emerging situation etc. Indoor localization in the literature is based on various techniques, ranging from simple Received-Signal-Strength (RSS) to the more demanding Time-of-Arrival (ToA) or Directionof-Arrival (DoA) of the incoming signals. In the context of several EU research projects, various WSN platforms for indoor localization have been developed, evaluated and tested within real-world emergency medical services applications. These platforms were selected in order to deal with all principal localization techniques, namely RSSI, ToA and DoA. Deployment and real-world considerations are discussed, measurements results are presented and overall system evaluation conclusions are drawn regarding indoor localization capabilities of WSNs.

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Section: Localization Techniques -Overviewmentioning

confidence: 99%

Indoor Localisation With Wireless Sensor Networks

Mitilineos¹,

Kyriazanos²,

Segou³

et al. 2010

PIER

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“…Nevertheless, the widespread adoption of RT methods is still limited due to the high complexity and high computation time of the corresponding computer programs [21][22][23]. And, for the conventional RT algorithms such as ray tube method [17], the prediction accuracy is not satisfactory.…”

Section: Introductionmentioning

confidence: 99%

A Quasi Three-Dimensional Ray Tracing Method Based on the Virtual Source Tree in Urban Microcellular Environments

Liu¹,

Guo²

2011

PIER

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Abstract-The increase in mobile communications traffic has led to heightened interest in the use of ray tracing (RT) methods together with digital building databases for obtaining more accurate and efficient propagation prediction in urban microcellular environments. In this paper, a novel quasi three-dimensional (3-D) RT algorithm is presented by taking into account the advantages of both the image theory (IT) and the shooting-and-bouncing ray (SBR) method. It is based on creating a new virtual source tree in which the relationship between neighbor nodes is a left-son-and-right-brother one. Our theoretical results of the signal path loss along the streets are compared with measurements which have been reported for city streets in Tokyo and Ottawa City for various values of the propagation parameters. The good agreement with these measurements indicates that our prediction model works well for such microcellular communication applications. The proposed method can provide the reliable theory basis for radio-wave propagation prediction and network planning in urban microcellular environments.

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“…The main application of DOA and AOA estimation is the wireless localization. There has been much research on wireless localization [13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Application of the Newton Method to Improve the Accuracy of Toa Estimation With the Beamforming Algorithm and the Music Algorithm

Lee¹,

Jeong²,

Cho³

et al. 2011

PIER

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Abstract-In this paper, a numerical method for improving the performance of the beamforming algorithm and the MUSIC algorithm for TOA (Time-of-arrival) estimation is presented. It has been shown that the conventional beamforming algorithm and the MUSIC algorithm can be used for time delay estimation.Using the beamforming algorithm and the MUSIC algorithm for TOA estimation, the initial estimate for the TOA is obtained. To improve the accuracy of the TOA estimation, we apply the Newton iteration to the initial estimate. The initial estimates obtained from the beamforming algorithm and the MUSIC algorithm are updated to obtain the final estimates which are more accurate than the initial estimates in terms of the RMSE (Root Mean Square Error). To find the TOA which maximizes the beamforming spectrum or the MUSIC spectrum, we find

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Localization Approach Based on Ray-Tracing Including the Effect of Human Shadowing

Cited by 15 publications

References 15 publications

Indoor Localisation With Wireless Sensor Networks

Indoor Localisation With Wireless Sensor Networks

A Quasi Three-Dimensional Ray Tracing Method Based on the Virtual Source Tree in Urban Microcellular Environments

Application of the Newton Method to Improve the Accuracy of Toa Estimation With the Beamforming Algorithm and the Music Algorithm

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