A Review on Device-Free Passive Indoor Positioning Methods

Kivimäki, Tero; Vuorela, Timo; Peltola, Pekka; Vanhala, Jukka

doi:10.14257/ijsh.2014.8.1.09

Cited by 38 publications

(22 citation statements)

References 82 publications

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“…Implementation cost and availability depend on the technology solution to be applied. Passive environment communicating with a mobile device decreases the computation load on the device and saves battery [37]. …”

Section: Surveillancementioning

confidence: 99%

Overview of positioning technologies from fitness-to-purpose point of view

Basiri

Lohan

Silva

et al. 2014

International Conference on Localization and GNSS 2014 (ICL-GNSS 2014)

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Abstract-Even though Location Based Services (LBSs) are being more and more widely-used and this shows a promising future, there are still many challenges to deal with, such as privacy, reliability, accuracy, cost of service, power consumption and availability. There is still no single low-cost positioning technology which provides position of its users seamlessly indoors and outdoors with an acceptable level of accuracy and low power consumption. For this reason, fitness of positioning service to the purpose of LBS application is an important parameter to be considered when choosing the most suitable positioning technology for an LBS. This should be done for any LBS application, since each application may need different requirements. Some location-based applications, such as locationbased advertisements or Location-Based Social Networking (LBSN), do not need very accurate positioning input data, while for some others, e.g. navigation and tracking services, highlyaccurate positioning is essential. This paper evaluates different positioning technologies from fitness-to-purpose point of view for two different applications, public transport information and family/friend tracking.

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Section: Surveillancementioning

confidence: 99%

Overview of positioning technologies from fitness-to-purpose point of view

Basiri

Lohan

Silva

et al. 2014

International Conference on Localization and GNSS 2014 (ICL-GNSS 2014)

Self Cite

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“…Among various indoor localization technologies [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22], the technologies based on the Radio Signal Strength (RSS) are popular, since RSS can be easily obtained by common wireless devices (e.g., wireless sensors, mobile phone) without additional hardware. However, RSS are apt to be affected by indoor environments, since radio signal is easily reflected, refracted, and scattered by various indoor objects [23].…”

Section: Introductionmentioning

confidence: 99%

Enhance RSS‐Based Indoor Localization Accuracy by Leveraging Environmental Physical Features

Peng

Zhang

2018

Wireless Communications and Mobile Computing

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Indoor localization technologies based on Radio Signal Strength (RSS) attract many researchers’ attentions, since RSS can be easily obtained by wireless devices without additional hardware. However, such technologies are apt to be affected by indoor environments and multipath phenomenon. Thus, the accuracy is very difficult to improve. In this paper, we put forward a method, which is able to leverage various other resources in localization. Besides the traditional RSS information, the environmental physical features, e.g., the light, temperature, and humidity information, are all utilized for localization. After building a comprehensive fingerprint map for the above information, we propose an algorithm to localize the target based on Naïve Bayesian. Experimental results show that the successful positioning accuracy can dramatically outperform traditional pure RSS-based indoor localization method by about 39%. Our method has the potential to improve all the radio frequency (RF) based localization approaches.

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“…Ultrasound [6] can be used for device-free localization by emitting an ultrasonic pulse. This technology can reach a higher positioning accuracy, but multipath propagation effect and non-line propagation have a great impact on ultrasound.…”

Section: Introductionmentioning

confidence: 99%