Lower bounds on mobile terminal localisation in an urban area

Arora, Deepali; McGuire, Michael

doi:10.1049/iet-com.2010.0480

“…In consequence, in scenarios where mainly the NLOS prevails such as urban scenarios, use of the BCRLB may be inadequate. This is due to the fact that NLOS creates discontinuities that invalidate the first condition [44]. Additionally, it was argued that the prediction accuracy of the BCRLB deteriorates at low and medium SNR [32], which means that the BCRLB, like the CRLB, will serve as a good lower bound only at high SNR.…”

Section: ) Cramer-rao Lower Bound Familymentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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“…In consequence, in scenarios where mainly the NLOS prevails such as urban scenarios, use of the BCRLB may be inadequate. This is due to the fact that NLOS creates discontinuities that invalidate the first condition [44]. Additionally, it was argued that the prediction accuracy of the BCRLB deteriorates at low and medium SNR [32], which means that the BCRLB, like the CRLB, will serve as a good lower bound only at high SNR.…”

Section: ) Cramer-rao Lower Bound Familymentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

View full text Add to dashboard Cite

With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

show abstract

“…The accuracy of using RSS-based localization is analyzed in [5], which shows that, in a cellular network, RSS-based localization has limited accuracy that does not meet specific government requirements, but is still an attractive solution for less demanding services. Arora and McGuire studied the lower bound of the localization estimation error of mobile terminals used in urban areas and suggested that the presence of buildings invalidates some popular assumptions for estimation errors such as the Cramer-Rao lower bound [27].…”

Section: A Rss-based Research and Applicationsmentioning

confidence: 99%

Characterization of Received Signal Strength Perturbations Using Allan Variance

Luo

¹

,

Casaseca‐de‐la‐Higuera

²

,

McClean

³

et al. 2018

IEEE Trans. Aerosp. Electron. Syst.

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Abstract-The received signal strength (RSS) of wireless signals conveys important information that has been widely used in wireless communications, localisation and tracking. Traditional RSS-based research and applications model the RSS signal using a deterministic component plus a white noise term. This paper investigates the assumption of white noise to have a further understanding of the RSS signal and proposes a methodology based on the Allan Variance (AVAR) to characterise it. Using AVAR, we model the RSS unknown perturbations as correlated random terms. These terms can account for both coloured noise or other effects such as shadowing or smallscale fading. Our results confirm that AVAR can be used to obtain a flexible model of the RSS perturbations, as expressed by coloured noise components . The study is complemented by introducing two straightforward applications of the proposed methodology: 1) The modelling and simulation of RSS noise using Wiener processes, and 2) RSS localisation using the extended Kalman filter.

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Lower bounds on mobile terminal localisation in an urban area

Cited by 5 publications

References 32 publications

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Characterization of Received Signal Strength Perturbations Using Allan Variance

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