Opportunistic Time-of-Arrival localization in fully asynchronous wireless networks

Spano, Danilo; Ricciato, Fabio

doi:10.1016/j.pmcj.2016.08.001

Cited by 11 publications

(5 citation statements)

References 33 publications

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“…That means the TOA measurements are only corrupted by the non-line of sight (NLOS) error and measured noise. However, the synchronization error is unavoidable for the TOA measurements, due to the unknown clock bias and drift [21][22][23][24]. Moreover, the conventional localization approaches assume that multiple BSs are involved in the localization process, which leads to the extra information exchange overhead and latency [25,26].…”

Section: Methods and Contributions Of This Workmentioning

confidence: 99%

“…Comparing with the NLOS error and measured noise, the synchronization error significantly affects the localization accuracy [21,22]. In this section, four types of LLS-based algorithms, a quadratic programming (QP) algorithm and data fusion (DF)-based algorithms are presented to deal with the synchronization error.…”

Section: Proposed Algorithms With Only Ob Scattering Pathsmentioning

confidence: 99%

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Single base station hybrid TOA/AOD/AOA localization algorithms with the synchronization error in dense multipath environment

Zhang

et al. 2022

J Wireless Com Network

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Mobile station (MS) localization in a cellular network is appealing to both industrial community and academia, due to the wide applications of location-based services. The main challenge is the unknown one-bound (OB) and multiple-bound (MB) scattering environment in dense multipath environment. Moreover, multiple base stations (BSs) are required to be involved in the localization process, and the precise time synchronization between MS and BSs is assumed. In order to address these problems, hybrid time of arrival (TOA), angle of departure (AOD), and angle of arrival (AOA) measurement model from the serving BS with the synchronization error is investigated in this paper. In OB scattering environment, four linear least square (LLS), one quadratic programming and data fusion-based localization algorithms are proposed to eliminate the effect of the synchronization error. In addition, the Cramer-Rao lower bound (CRLB) of our localization model on the root mean-square error (RMSE) is derived. In hybrid OB and MB scattering environment, a novel double identification algorithm (DIA) is proposed to identify the MB path. Simulation results demonstrate that the proposed algorithms are capable to deal with the synchronization error, and LLS-based localization algorithms show better localization accuracy. Furthermore, the DIA can correctly identify the MB path, and the RMSE comparison of different algorithms further prove the effectiveness of the DIA.

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Section: Methods and Contributions Of This Workmentioning

confidence: 99%

Section: Proposed Algorithms With Only Ob Scattering Pathsmentioning

confidence: 99%

Single base station hybrid TOA/AOD/AOA localization algorithms with the synchronization error in dense multipath environment

Zhang

et al. 2022

J Wireless Com Network

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“…TOA is a method to locate the target by measuring the distance [6]. The principle of this method is to calculate the distance between the target point and the anchor point by measuring the arrival time of the signal and then calculate the Tag coordinates by the distance.…”

Section: Fig 1 Time Of Arrivalmentioning

confidence: 99%

Development of Low-Cost Indoor Positioning Using Mobile-UWB-Anchor-Configuration Approach

Liu

Lin

Kong

et al. 2021

Parallel Architectures, Algorithms and Programming

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In recent years, with the growth of indoor positioning demand, many kinds of indoor positioning technologies have been studied. Compared with other technologies, UWB indoor positioning technology has the advantages of high positioning accuracy and strong anti-interference ability. However, the high cost of UWB hardware limits the application of this technology to practical applications. In particular, the effective communication distance of the UWB is within 10 meters, and if used in a large-area indoor environment, a plurality of anchor points is required to be installed to ensure the positioning accuracy. This leads to a high system hardware cost.In this paper, we proposed a mobile-UWB-anchor-network approach. We changed the fixed anchors in the UWB system into moving anchors to reduce the number of anchors in the area and reduce the cost of the system. This new approach is verified using experiments.

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“…The second method is TOA. The OToA 23 is a centralized algorithm with asynchronous network; the packets from the nodes are time stamped and passed on to the centralized node that calculates the relative distances. The technique is simple, but the accuracy is not very high as this method is dependent on precise time synchronization.…”

Section: Related Workmentioning

confidence: 99%

Comparative node selection‐based localization technique for wireless sensor networks: A bilateration approach

Tabassum

Devanagavi

Biradar

et al. 2020

Int J Communication

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Summary Wireless sensor networks find extensive applications, such as environmental and smart city monitoring, structural health, and target location. To be useful, most sensor data must be localized. We propose a node localization technique based on bilateration comparison (BACL) for dense networks, which considers two reference nodes to determine the unknown position of a third node. The mirror positions resulted from bilateration are resolved by comparing their coordinates with the coordinates of the reference nodes. Additionally, we use network clustering to further refine the location of the nodes. We show that BACL has several advantages over Energy Aware Co‐operative Localization (EACL) and Underwater Recursive Position Estimation (URPE): (1) BACL uses bilateration (needs only two reference nodes) instead of trilateration (that needs three reference nodes), (2) BACL needs reference (anchor) nodes only on the field periphery, and (3) BACL needs substantially less communication and computation. Through simulation, we show that BACL localization accuracy, as root mean square error, improves by 53% that of URPE and by 40% that of EACL. We also explore the BACL localization error when the anchor nodes are placed on one or multiple sides of a rectangular field, as a trade‐off between localization accuracy and network deployment effort. Best accuracy is achieved using anchors on all field sides, but we show that localization refinement using node clustering and anchor nodes only on one side of the field has comparable localization accuracy with anchor nodes on two sides but without clustering.

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Opportunistic Time-of-Arrival localization in fully asynchronous wireless networks

Cited by 11 publications

References 33 publications

Single base station hybrid TOA/AOD/AOA localization algorithms with the synchronization error in dense multipath environment

Single base station hybrid TOA/AOD/AOA localization algorithms with the synchronization error in dense multipath environment

Development of Low-Cost Indoor Positioning Using Mobile-UWB-Anchor-Configuration Approach

Comparative node selection‐based localization technique for wireless sensor networks: A bilateration approach

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