Performance evaluation of a TOA-based trilateration method to locate terminals in WLAN

Izquierdo, F.; Ciurana, Marc; Barcelo, F.; Paradells, Josep; Zola, Enrica

doi:10.1109/iswpc.2006.1613598

Cited by 56 publications

(35 citation statements)

References 6 publications

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“…After obtaining the space-time relationship between the user and multiple APs, the user's position is calculated using trilateration [17]. To achieve high accuracy, at least three APs are required in this method.…”

Section: Time and Space Attributes Of Received Signal-based Positionimentioning

confidence: 99%

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

Xia

Liu

Yuan

et al. 2017

IJGI

195

125

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Abstract:The widely applied location-based services require a high standard for positioning technology. Currently, outdoor positioning has been a great success; however, indoor positioning technologies are in the early stages of development. Therefore, this paper provides an overview of indoor fingerprint positioning based on Wi-Fi. First, some indoor positioning technologies, especially the Wi-Fi fingerprint indoor positioning technology, are introduced and discussed. Second, some evaluation metrics and influence factors of indoor fingerprint positioning technologies based on Wi-Fi are introduced. Third, methods and algorithms of fingerprint indoor positioning technologies are analyzed, classified, and discussed. Fourth, some widely used assistive positioning technologies are described. Finally, conclusions are drawn and future possible research interests are discussed. It is hoped that this research will serve as a stepping stone for those interested in advancing indoor positioning.

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Section: Time and Space Attributes Of Received Signal-based Positionimentioning

confidence: 99%

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

Xia

Liu

Yuan

et al. 2017

IJGI

195

125

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“…The nonlinear LS algorithm does not need the rearrangement of the Equation (5) and is based on the following minimization criterion [23]:…”

Section: Ls Algorithms For Trilaterationmentioning

confidence: 99%

“…To obtain the solution that satisfies this minimization criterion, the nonlinear LS problem needs to be solved using the Gauss-Newton method, which is a recursive algorithm used to solve nonlinear LS problems [23]. The Gauss-Newton method is expressed based on the given vector y(t) of the measured distances and the initial value ofx 0 (t),…”

Section: Ls Algorithms For Trilaterationmentioning

confidence: 99%

Localization based on two-stage treatment for dealing with noisy and biased distance measurements

Cho

Lee

Kim

et al. 2012

EURASIP J. Adv. Signal Process.

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Localization can be performed by trilateration in which the coordinates of a target are calculated by using the coordinates of reference points and the distances between each reference point and the target. Because the distances are measured on the basis of the time-of-flight of various kinds of signals, they contain errors which are the noise and bias. The presence of bias can become a major problem because its magnitude is generally unknown. In this article, we propose an algorithm that combines the Kalman filter (KF) and the least square (LS) algorithm to treat noisy and biased distances measured by chirp spread spectrum ranging defined in IEEE 802.15.4a. By using the KF, we remove the noise in the measured distance; hence, the noise-eliminated distance, which still contains bias, is obtained. The next step consists of the calculation of the target coordinates by using the weighted LS algorithm. This algorithm uses the noise-eliminated distance obtained by using the KF, and the weighting parameters of the algorithm are determined to reduce the effects of bias. To confirm the accuracy of the proposed algorithm, we present the results of indoor localization experiments.

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“…Each technique is based on a certain signal parameter being measured. The most common of these signal parameters are the angle of arrival (AOA) [4], time of arrival (TOA) [5], time difference of arrival (TDOA) [6], and the received signal strength (RSS) [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Real Time RSS Based Adaptive Beam Steering Algorithm for Autonomous Vehicles

Ibrahim¹,

Sharawi²

2014

PIER C

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Abstract-A real time, low complexity algorithm is developed to steer a planar patch antenna array beam to the maximum received signal strength (RSS) direction for communication link enhancement. The beam steering towards the maximum incoming signal direction is based on an iterative technique utilizing a set of RSS measurements taken from specific locations in the search space, these locations collectively form an ellipse. The algorithm is denoted as "elliptical peeking". It was simulated for a flying unmanned aerial vehicle (UAV) as the vehicle tries to identify the maximum signal strength incoming direction of a stationary ground signal and it was tested on an embedded platform to validate its low demand for computational power. Such an algorithm is suitable for autonomous platforms due to its simplicity and low cost.

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Performance evaluation of a TOA-based trilateration method to locate terminals in WLAN

Cited by 56 publications

References 6 publications

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

Localization based on two-stage treatment for dealing with noisy and biased distance measurements

Real Time RSS Based Adaptive Beam Steering Algorithm for Autonomous Vehicles

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