Topics in probabilistic location estimation in wireless networks

Kontkanen, Petri; Myllymäki, Petri; Roos, Teemu; Tirri, Henry; Valtonen, Kimmo; Wettig, Hannes

doi:10.1109/pimrc.2004.1373859

Cited by 57 publications

(37 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Feng Chen [54] used the combination of compression perception technology and clustering technology for indoor positioning. Yim [66] used a decision tree for indoor positioning, which reduced not only the complexity of the algorithm, but also the average positioning error when the sample space was larger (about 80 samples), in comparison with other algorithms. Li [6] used the Least Square and its related variants, such as the Weighted Least Square (WLS), and the Nonlinear Least Square (NLS) to achieve positioning match.…”

Section: (4) Other Deterministic Positioning Algorithmsmentioning

confidence: 99%

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

Xia

Liu

Yuan

et al. 2017

IJGI

198

125

View full text Add to dashboard Cite

Abstract:The widely applied location-based services require a high standard for positioning technology. Currently, outdoor positioning has been a great success; however, indoor positioning technologies are in the early stages of development. Therefore, this paper provides an overview of indoor fingerprint positioning based on Wi-Fi. First, some indoor positioning technologies, especially the Wi-Fi fingerprint indoor positioning technology, are introduced and discussed. Second, some evaluation metrics and influence factors of indoor fingerprint positioning technologies based on Wi-Fi are introduced. Third, methods and algorithms of fingerprint indoor positioning technologies are analyzed, classified, and discussed. Fourth, some widely used assistive positioning technologies are described. Finally, conclusions are drawn and future possible research interests are discussed. It is hoped that this research will serve as a stepping stone for those interested in advancing indoor positioning.

show abstract

Section: (4) Other Deterministic Positioning Algorithmsmentioning

confidence: 99%

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

Xia

Liu

Yuan

et al. 2017

IJGI

198

125

View full text Add to dashboard Cite

show abstract

“…1) Probabilistic Methods: One method considers positioning as a classification problem [10]. Assuming that there are n location candidates…”

Section: Positioning Algorithmsmentioning

confidence: 99%

A Novel High Accuracy Indoor Positioning System Based on Wireless Lans

Zhao¹,

Shen²,

Zhang

2011

PIER C

View full text Add to dashboard Cite

Abstract-A novel indoor positioning system based on received signal strength (RSS) in wireless networks with high accuracy is presented in this paper. The three improvement mechanisms, called signal strength filter, user location filter and path tracking assistance, are employed to improve the positioning accuracy of the system. The comprehensive performance of the proposed system is analyzed in detail and compared with the Radar system. Experimental results demonstrate that the proposed system in this paper can improve 80% accuracy in 3 meters of Radar system to 93% in typical office building testbed. Therefore, the indoor positioning system presented in this paper has the advantages of high accuracy, low cost and easy expansibility, and it can be used to locate people and assets in the fields of logistics, healthcare, and manufacturing.

show abstract

“…In order to visualize the uncertainty associated with the location of each PA, we assume that we have a probability distribution describing the uncertainty about the actual location. This can be done by drawing an Uncertainty Area (UA) centered at the estimated location such that the size and orientation describe the uncertainty of the location estimate as well as possible [26].…”

Section: A Probabilistic Location Of Primary Antennasmentioning

confidence: 99%

Uncertainty area-based interference mitigation for cognitive radio

Boutin¹,

Despins

Denidni³

2011

J Wireless Com Network

View full text Add to dashboard Cite

A new interference mitigation approach is presented for a Mobile Ad Hoc NETwork (MANET), acting as a secondary wireless network, which takes advantage of smart antennas and cognitive radio capabilities when arbitrarily deployed in the same area as a primary wireless network while both sharing the same spectrum. The MANET has to cope with the very coarse probabilistic estimate of the primary network antenna location, resulting from the absence of communication between both networks. Prior to MANET deployment, a Monte Carlo simulation is performed to evaluate the MANET's potential aggregate interference. Thus, both network managers have offline requirements to meet by such a simulation before approving their coexistence in the same environment. The adequate size of an uncertainty area surrounding each primary antenna, to respect those requirements, is therefore our main contribution to mitigate the MANET's interference. This is a novel solution for this kind of non-intrusive underlay spectrum sharing paradigm.

show abstract

Topics in probabilistic location estimation in wireless networks

Cited by 57 publications

References 12 publications

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

A Novel High Accuracy Indoor Positioning System Based on Wireless Lans

Uncertainty area-based interference mitigation for cognitive radio

Contact Info

Product

Resources

About