Hybrid TOA/AOA mobile localization with NLOS mitigation in ring scattering environments

Zhaounia, Mohamed; Landolsi, Mohamed Adnan; Bouallègue, Ridha

doi:10.1109/iswpc.2008.4556232

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…There is also a solution using scene analysis related approaches such as machine learning-based algorithms [291]. There are also various system setups, which combines initial localization features from RSSI [270] [288], CSI [287], TOA [275] [277] [278] [279] and vision, to improve the localization results.…”

Section: Conventional Anchor Based Localization Systemmentioning

confidence: 99%

Survey on Localization Systems and Algorithms for Unmanned Systems

2021

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Intelligent unmanned systems have important applications, such as pesticide-spraying in agriculture, robot-based warehouse management systems, and missile-firing drones. The underlying assumption behind all autonomy is that the agent knows its relative position or egomotion with respect to some reference or scene. There exist thousands of localization systems in the literature. These localization systems use various combinations of sensors and algorithms, such as visual/visual-inertial SLAM, to achieve robust localization. The majority of the methods use one or more sensors from LIDAR, camera, IMU, UWB, GPS, compass, tracking system, etc. This survey presents a systematic review and analysis of published algorithms and techniques chronologically, and we introduce various highly impactful works. We provide insightful investigation and taxonomy on sensory data forming principle, feature association principle, egomotion estimation formation, and fusion model for each type of system. At last, some open problems and directions for future research are also included. We aim to survey the literature comprehensively to provide a complete understanding of localization methodologies, performance, advantages and limitations, and evaluations of various methods, shedding some light for future research.

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Section: Conventional Anchor Based Localization Systemmentioning

confidence: 99%

Survey on Localization Systems and Algorithms for Unmanned Systems

2021

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“…For the selection of reference BS, the work in proposes to select the smallest residual as the reference BS. All the aforementioned works assume a large number of BSs (at least three) involved in the MS location, which results in two problems . One is the hearability problem when the MS is power controlled by its serving BS; the other is requiring complex messaging and synchronization that burden the network.…”

Section: Introductionmentioning

confidence: 99%

Two base station location techniques with adjusted measurements in circular scattering environments

Tan

et al. 2015

Int J Communication

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Summary In circular scattering environments, novel location techniques with only two base stations (BSs) are proposed in this paper. The proposed techniques estimate the true or line‐of‐sight ranges and angle based on non‐line‐of‐sight range and angle measurements. Three new variables are introduced when range measurements and angle measurement are available from two BSs and the serving BS, respectively. Bounds and relationships between the three variables are extracted from the geometry of the cell layout with the unknown and known scattering radius conditions, respectively. Our aim is to obtain the estimation of three new variables and then the hybrid line of position technique with the adjusted ranges, and angle is utilized to obtain the position estimation of a mobile station. In order to obtain the estimation of three new variables, a new nonlinear objective function is built to form the constrained nonlinear optimization and solved by the existing optimization algorithms. However, because of the nonconvex objective function, the optimization algorithm may converge to the local optimum and lead to bad performance. Thus, a heuristic search algorithm is proposed by averaging all the potential point. Simulation results show that the proposed techniques outperform conventional hybrid techniques. Copyright © 2015 John Wiley & Sons, Ltd.

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“…In addition, if we can successfully identify NLOS propagation or LOS propagation from related parameters, positioning accuracy would be improved very much. If the number of LOS is enough, positioning algorithms is independent of NLOS error [15,16]. However, in a real environment, the number of LOS is too small or zero.…”

Section: Introductionmentioning

confidence: 99%

Improved positioning algorithm based on linear constraints on scatterers

Zhou

Fan

Chen

2013

J Wireless Com Network

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Non-line-of-sight (NLOS) error is a bottleneck problem influencing positioning accuracy. However, a large number of scatterers distribute randomly in the surrounding of the mobile station (MS) in the dense multipath environment, such as urban. In most cases, there is no obstacle between scatterer and MS. So, the geographic information of scatterers around MS can be used to restraint NLOS errors and improve the positioning accuracy. If scatterer can be regarded as the virtual base station (BS), the precondition of the positioning algorithm is easier to satisfy than the traditional positioning algorithm, such as circle positioning algorithm. The algorithm proposed in this article selects suitable scatterers with linear constraints by analyzing the Doppler frequency shift of received signals which reflected by scatterers. Thereby, the selected scatterers and only two real BSs form a complete positioning system. In addition, because MS is motionless in most scenarios, BS must be moving to acquire the Doppler frequency shift. The algorithm proposed in this article is adjusted for the scenarios. And the scatterers with linear constraint can also be utilize fully. Simulation results show the algorithm proposed in this article in two different scenarios, not only simplifies the traditional algorithm, but also achieves the higher positioning accuracy.

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Hybrid TOA/AOA mobile localization with NLOS mitigation in ring scattering environments

Cited by 7 publications

References 15 publications

Survey on Localization Systems and Algorithms for Unmanned Systems

Survey on Localization Systems and Algorithms for Unmanned Systems

Two base station location techniques with adjusted measurements in circular scattering environments

Improved positioning algorithm based on linear constraints on scatterers

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