Position Estimation Using Trilateration based on ToA/RSS and AoA Measurement

The localization for indoor environments is faced by problems related to high error rates. To address this problem, a hyperbolic method is chosen which is a suitable for such environments. Also, such methods give a significant error when depending on RSS values, which suffer from unstable reading. To overcome this phenomenon, a proposed method is presented in this research to choose a suitable value of RSS. The idea is to install 4TXs in the chosen case study building and select the best two reading of 2TXs lying on the same side of the square case study building among four values of RSS measured from the 4TXs. The results show that, a significant reduction of error is achieved using the proposed method as the range of achieved error is between (0.1091, 0.0061) to (1.7162, 1.6593). While, the such range are from (0.0114, 0.0472) to (1.2685, 2.3207) by using 2TXs. Finally, a validation of achieved error is applied for the results of proposed method applied by real measurements. The results of such validation show that a close measurement to the simulation result is achieved.

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“…To estimate the distances between the reference points (𝑵 𝟏 &𝑵 𝟐 ) and to the Target (T) can be calculated by equation ( 6) [28].…”

Section: Methodsmentioning

confidence: 99%

Improve the Positioning Accuracy for Indoor Applications Based on Hyperbolic Method with Optimum Measurement

Abed

Mosleh

Abed

et al. 2023

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“…Signal properties used for positioning include Angle of Arrival (AoA) [ 7 ], Time of Arrival (ToA) [ 14 ], Time Difference of Arrival (TDoA), Received Signal Strength Indication [ 15 ], Time of Flight (ToF), Return Time of Flight (RToF), and Phase of Arrival (PoA) [ 2 ]. Positioning algorithms , which include triangulation, trilateration [ 16 , 17 ], proximity, and Two-Way Ranging algorithms [ 18 ], are then used in conjunction with the aforementioned technologies and signal properties to estimate and/or track the position of an object. Positioning algorithms tend to be overly sensitive to external disturbances, and therefore often rely on sensor fusion.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Accuracy Improvement of UWB-TDoA-Based Indoor Positioning System

Grasso

Innocente

Tai

et al. 2022

Sensors

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Positioning systems are used in a wide range of applications which require determining the position of an object in space, such as locating and tracking assets, people and goods; assisting navigation systems; and mapping. Indoor Positioning Systems (IPSs) are used where satellite and other outdoor positioning technologies lack precision or fail. Ultra-WideBand (UWB) technology is especially suitable for an IPS, as it operates under high data transfer rates over short distances and at low power densities, although signals tend to be disrupted by various objects. This paper presents a comprehensive study of the precision, failure, and accuracy of 2D IPSs based on UWB technology and a pseudo-range multilateration algorithm using Time Difference of Arrival (TDoA) signals. As a case study, the positioning of a 4×4m2 area, four anchors (transceivers), and one tag (receiver) are considered using bitcraze’s Loco Positioning System. A Cramér–Rao Lower Bound analysis identifies the convex hull of the anchors as the region with highest precision, taking into account the anisotropic radiation pattern of the anchors’ antennas as opposed to ideal signal distributions, while bifurcation envelopes containing the anchors are defined to bound the regions in which the IPS is predicted to fail. This allows the formulation of a so-called flyable area, defined as the intersection between the convex hull and the region outside the bifurcation envelopes. Finally, the static bias is measured after applying a built-in Extended Kalman Filter (EKF) and mapped using a Radial Basis Function Network (RBFN). A debiasing filter is then developed to improve the accuracy. Findings and developments are experimentally validated, with the IPS observed to fail near the anchors, precision around ±3cm, and accuracy improved by about 15cm for static and 5cm for dynamic measurements, on average.

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“…In general, the localization is a wide concept aims to determine the location of the objects that are located in diverse environments. The objects maybe mobile phones [1], [2], cart's location at malls [3], patient at hospital [4], employees in the building [5] or vehicles in the road [6]. The environment is either indoor, outdoor, or mixed.…”

Section: Introductionmentioning

confidence: 99%

A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities

Bakhuraisa

Aziz

Geok

et al. 2022

IJECE

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<span lang="EN-US">Observing the vehicles movement becomes an urgent necessity due to exponentially increasing numbers of vehicles in the world. However, to this regard, a good deal of research had been presented to estimate the exact physical position of the vehicle. The major challenges faced vehicle localization systems are large coverage areas required, positioning at diverse environments and positioning during a high-speed movement. However, in this paper, the challenges of employing the vehicle localization techniques, which rely on the propagation signal properties, are discussed. Moreover, a comparison between these techniques, in terms of accuracy, responsiveness, scalability, cost, and complexity, is conducted. The presented positioning technologies are classified into five categories: satellite based, radio frequency based, radio waves based, optical based, and sound based. The discussion shows that, both of satellite-based technology and cellular-based technology are emerge solutions to overcome the challenges of vehicle positioning. Satellite-based can provide a high accurate positioning in open outdoor environment, whereas the cellular-based can provide accurate and reliable vehicle localization in urban environment, it can support non-line of sight (NLOS) positioning and provide large coverage and high data transmission. The paper also shows that, the standalone localization technology still has limitations. Therefore, we discussed how the presented techniques are integrated to improve the positioning performance.</span>

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Position Estimation Using Trilateration based on ToA/RSS and AoA Measurement

Cited by 10 publications

References 6 publications

Improve the Positioning Accuracy for Indoor Applications Based on Hyperbolic Method with Optimum Measurement

Improve the Positioning Accuracy for Indoor Applications Based on Hyperbolic Method with Optimum Measurement

Analysis and Accuracy Improvement of UWB-TDoA-Based Indoor Positioning System

A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities

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