Distance Estimation based on 802.11 RTS/CTS Mechanism for Indoor Localization

Bahillo, Alfonso; Fernández, Patricia; Prieto, Javier; Mazuelas, Santiago; Lorenzo, Rubén M.; Abril, Evaristo J.

doi:10.5772/15670

Cited by 5 publications

(11 citation statements)

References 20 publications

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“…irrespectively of the positional-state used. In the following, we describe realistic models for the relationship between distances and RSS/TOA measurements in concordance with previous essays [10,12].…”

Section: Measurements Modelmentioning

confidence: 70%

“…By assuming known the signal speed, we can infer this distance by means of a linear transformation of the TOA values. Due to the technical difficulty of synchronizing devices in a wireless network, techniques that use round-trip time estimation are the most attractive to estimate delays [10,28]. In this case, the processing time at the device that has to transmit the echo causes the relationship between TOA and distance to be affine linear (it has an intercept term).…”

Section: Toa Measurementsmentioning

confidence: 99%

“…In order to describe how the presented adaptive data fusion operates, Figures 3-4 show the histogram of 100 RSS and 100 TOA measurements taken at a fixed distance with the measuring systems described in [12] and [10], respectively. These figures also represent the corresponding Gaussian pdf and the adaptive pdf obtained by means of the kernel-based expression given by (15) and (16).…”

Section: Adaptive Likelihood For Rss/toa Fusionmentioning

confidence: 99%

“…The position information extracted from the radio-frequency signals varies according to the type of measurement taken. Techniques based on time of arrival (TOA) [9][10] or received signal strength (RSS) [11][12] measurements obtain range-related information, whereas techniques based on angle of arrival (AOA) or time difference of arrival (TDOA) measurements extract information related to directions or difference of distances, respectively [13][14]. AOA and TDOA measurements entail significant costs of antenna-array integration or synchronizing devices.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Accurate and Robust Localization in Harsh Environments Based on V2I Communication

Prieto¹,

Mazuelas²,

Bahillo³

et al. 2013

Vehicular Technologies - Deployment and Applications

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Section: Measurements Modelmentioning

confidence: 70%

Section: Toa Measurementsmentioning

confidence: 99%

Section: Adaptive Likelihood For Rss/toa Fusionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Accurate and Robust Localization in Harsh Environments Based on V2I Communication

Prieto¹,

Mazuelas²,

Bahillo³

et al. 2013

Vehicular Technologies - Deployment and Applications

Self Cite

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“…In [51], the team added real-time location capabilities, achieving a precision of better than 3.51 m in 50% of cases in a hard multipath and NLOS indoor environment. A detailed overview of their work is provided in [52] and [53].…”

Section: Mac Layer Hardware Methodsmentioning

confidence: 99%

Survey of WiFi positioning using time-based techniques

et al. 2015

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Estimating the position of mobile devices with high accuracy in indoor environments is of interest across a wide range of applications. Many methods and technologies have been proposed to solve the problem but, to date, there is no "silver bullet". This paper surveys research conducted on indoor positioning using time-based approaches in conjunction with the IEEE 802.11 Wireless Local Area Network standard (WiFi). Location solutions using this approach are particularly attractive due to the wide deployment of WiFi and because prior mapping is not needed. This paper provides an overview of the IEEE 802.11 standards and summarizes the key research challenges in 802.11 time-based positioning. The paper categorizes and describes the many proposals published to date, evaluating their implementation complexity and positioning accuracy. Finally, the paper summarizes the state-of-the-art and makes suggestions for future research directions.

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Accelerating TOA/TDOA packet based localization methods

Gholoobi

Stavrou

2014

2014 IEEE Conference on Wireless Sensors (ICWiSE)

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Distance Estimation based on 802.11 RTS/CTS Mechanism for Indoor Localization

Cited by 5 publications

References 20 publications

Accurate and Robust Localization in Harsh Environments Based on V2I Communication

Accurate and Robust Localization in Harsh Environments Based on V2I Communication

Survey of WiFi positioning using time-based techniques

Accelerating TOA/TDOA packet based localization methods

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