statistical approach to non-line-of-sight BS identification

Venkatraman, S.; Caffery, J.

doi:10.1109/wpmc.2002.1088180

Cited by 76 publications

(40 citation statements)

References 9 publications

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“…While many different statistical tools have been employed in the detection of N-LOS measurements such as normality tests [16], residual tests [17,18], Borras et al [19] focused on active N-LOS detection from the resulting range estimations of their radio-based measurement system. In their system, a log of previous estimations are kept and fit a Gaussian distribution.…”

Section: Time Of Arrival-based Radiolocationmentioning

confidence: 99%

A grid-based indoor radiolocation technique based on spatially coherent path loss model

Ambarkutuk

Furukawa

2017

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

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(Academic)This thesis presents a grid-based indoor radiolocation technique based on a Spatially Coherent Path Loss Model (SCPL). SCPL is a path loss model which characterizes the radio wave propagation in an environment by solely using Received Signal Strength (RSS) fingerprints. The propagation of the radio waves is characterized by uniformly dividing the environment into grid cells, followed by the estimation of the propagation parameters for each grid cell individually. By using SCPL and RSS fingerprints acquired at an unknown location, the distance between an agent and all the access point in an indoor environment can be determined. A least-squares based trilateration is then used as the global fix of location the agent in the environment. The result of the trilateration is then represented in a probability distribution function over the grid cells induced by SCPL. Since the proposed technique is able to locally model the propagation accounting for attenuation of non-uniform environmental irregularities, the characterization of the path loss in the indoor environment This thesis presents a technique uses radio waves to localize an agent in an indoor environment. By characterizing the difference between transmitted and received power of the radio waves, the agent can determine how far it is away from the transmitting antennas, i.e. DedicationTo my loving parents, lovely sister, and my precious friend Isil Anakok.iv

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Section: Time Of Arrival-based Radiolocationmentioning

confidence: 99%

A grid-based indoor radiolocation technique based on spatially coherent path loss model

Ambarkutuk

Furukawa

2017

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

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“…And if the measurements contain the NLOS error, the distribution is noncentral χ 2 distribution. Venkatraman and Caffery Jr. [49] investigated NLOS identification for moving targets by using a time series of range measurements. Gezici et al [50] proposed a nonparameter-based hypothesis test method which used a distance metric between a known measurement error distribution and a nonparametrically estimated distance measurement distribution.…”

Section: Nlos Identification/classification As Shown Inmentioning

confidence: 99%

A Survey of Localization in Wireless Sensor Network

Cheng

Zhang

et al. 2012

International Journal of Distributed Sensor Networks

232

154

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Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network.

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“…. ., N, then the following linear Equations (1) and (2) are derived when the scatter and the MS are in the same line [21,22]:…”

Section: Traditional Positioning Algorithm Using Linear Constraints Omentioning

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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statistical approach to non-line-of-sight BS identification

Cited by 76 publications

References 9 publications

A grid-based indoor radiolocation technique based on spatially coherent path loss model

A grid-based indoor radiolocation technique based on spatially coherent path loss model

A Survey of Localization in Wireless Sensor Network

Improved positioning algorithm based on linear constraints on scatterers

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