Access point significance measures in WLAN-based location

Laitinen, Elina; Lohan, Elena Simona; Talvitie, Jukka; Shrestha, Shweta

doi:10.1109/wpnc.2012.6268733

Cited by 26 publications

(17 citation statements)

References 7 publications

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“…The transmission path between transmitter and receiver can vary from Line-Of-Sight (LOS) transmission to Non Line-Of-Sight (NLOS), which is obstructed by mountains and buildings [5]. In 1994, Honcharenko et al, investigated the reflection and transmission properties of concrete walls with periodic structures [6].…”

Section: Background and Preliminary Researchmentioning

confidence: 99%

Propagation Measurements and Estimation of Channel Propagation Models in Urban Environment

Zakaria

Ivanek

Glesk³

2017

KSII TIIS

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Wireless communication is a telecommunication technology, which enables wireless transmission between the portable devices to provide wireless access in all types of environments. In this research, the measurements and various empirical models are analysed and compared in order to find out a suitable propagation model to provide guidelines for cell planning of wireless communication systems. The measured data was taken in urban region with low vegetation and some trees at 900 MHz frequency band. Path loss models are useful planning tools, which permit the designers of cellular communication to obtain optimal levels for the base station deployment and meeting the expected service level requirements. Outcomes show that these empirical models tend to overestimate the propagation loss. As one of the key outputs, it was observed that the calculations of Weissberger model fit with the measured data in urban environment.

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Section: Background and Preliminary Researchmentioning

confidence: 99%

Propagation Measurements and Estimation of Channel Propagation Models in Urban Environment

Zakaria

Ivanek

Glesk³

2017

KSII TIIS

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“…Recently, researchers have focused on the localization technology based on wireless signal strength and proposed some effective localization methods, such as the Angle Of Arrival (AOA)-based localization method [3], the Time Of Arrival (TOA)-based localization method [23], the Time Difference Of Arrival (TDOA)-based localization method [20] and the wireless signal propagation model-based method [24]. AOA relies on the measured angles relative to multiple base stations to find the position of the mobile device.…”

Section: Related Workmentioning

confidence: 99%

RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint

Piao

Zhang

et al. 2016

Sensors

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The Received Signal Strength (RSS) fingerprint-based indoor localization is an important research topic in wireless network communications. Most current RSS fingerprint-based indoor localization methods do not explore and utilize the spatial or temporal correlation existing in fingerprint data and measurement data, which is helpful for improving localization accuracy. In this paper, we propose an RSS fingerprint-based indoor localization method by integrating the spatio-temporal constraints into the sparse representation model. The proposed model utilizes the inherent spatial correlation of fingerprint data in the fingerprint matching and uses the temporal continuity of the RSS measurement data in the localization phase. Experiments on the simulated data and the localization tests in the real scenes show that the proposed method improves the localization accuracy and stability effectively compared with state-of-the-art indoor localization methods.

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“…A study conducted in [14], measured the significance of Wi-Fi APs for UE position estimation where good results were obtained by limiting the Wi-Fi AP number to seven for all analyzed samples. In [15] the selection of APs was done based on the largest signal strength values recorded at each location.…”

Section: Grid-based Rf Fingerprintingmentioning

confidence: 99%

An efficient cluster-based outdoor user positioning using LTE and WLAN signal strengths

Mondal

Turkka

Ristaniemi

2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Access point significance measures in WLAN-based location

Cited by 26 publications

References 7 publications

Propagation Measurements and Estimation of Channel Propagation Models in Urban Environment

Propagation Measurements and Estimation of Channel Propagation Models in Urban Environment

RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint

An efficient cluster-based outdoor user positioning using LTE and WLAN signal strengths

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