An experimental comparison study on indoor localization: RF fingerprinting and Multilateration methods

Alkasi, Ugur; Shayokh, Al; Partal, Hakan P.

doi:10.1109/icecco.2013.6718277

Cited by 10 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The multilateration method is an extension of the triangulation method with more than three reference points in estimating a target location [156,163]. Radio frequency multilateration method estimates the location of the target using the strength of signals received from many non-collocated and non-collinear transmitters [164]. In the multilateration method, the localization accuracy highly depends on the distance measurement between a target device and an access point.…”

Section: Multilateration Algorithmmentioning

confidence: 99%

“…The timebased process challenges are due to the needs of synchronization precision and timestamp determination, both in the nanoseconds range [62]. Furthermore, the radio frequency fingerprinting method gives better results than the radio frequency multilateration method, even though the radio frequency multilateration method gives less of an error rate and enhanced solution for small spaces [164].…”

Section: Multilateration Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Review of Indoor Positioning: Radio Wave Technology

et al. 2020

View full text Add to dashboard Cite

The indoor positioning system (IPS) is becoming increasing important in accurately determining the locations of objects by the utilization of micro-electro-mechanical-systems (MEMS) involving smartphone sensors, embedded sources, mapping localizations, and wireless communication networks. Generally, a global positioning system (GPS) may not be effective in servicing the reality of a complex indoor environment, due to the limitations of the line-of-sight (LoS) path from the satellite. Different techniques have been used in indoor localization services (ILSs) in order to solve particular issues, such as multipath environments, the energy inefficiency of long-term battery usage, intensive labour and the resources of offline information collection and the estimation of accumulated positioning errors. Moreover, advanced algorithms, machine learning, and valuable algorithms have given rise to effective ways in determining indoor locations. This paper presents a comprehensive review on the positioning algorithms for indoors, based on advances reported in radio wave, infrared, visible light, sound, and magnetic field technologies. The traditional ranging parameters in addition to advanced parameters such as channel state information (CSI), reference signal received power (RSRP), and reference signal received quality (RSRQ) are also presented for distance estimation in localization systems. In summary, the recent advanced algorithms can offer precise positioning behaviour for an unknown environment in indoor locations.

show abstract

Section: Multilateration Algorithmmentioning

confidence: 99%

Section: Multilateration Algorithmmentioning

confidence: 99%

Review of Indoor Positioning: Radio Wave Technology

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Constructing a signal propagation model can be a very challenging task due to complexities of indoor environments, rather than modelling RSS behaviour another approach can be used known as Radio Frequency-fingerprinting technique [7,21,22].…”

Section: Radio-frequency Fingerprintingmentioning

confidence: 99%

A Review on Indoor Localization Techniques using Received Signal Strength

Obeidat¹

2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

View full text Add to dashboard Cite

show abstract

“…[5] Comparing to techniques like TDOA or TOA the performance rate in RSS based methods remain insufficient which makes researcher to develop new techniques and improve the performance. [6] Previous study in literature has been proved that these techniques could be improved by various research techniques. Some experimental comparison study has been performed to find out the better solution.…”

Section: Introductionmentioning

confidence: 99%

Experimental Performance Analysis and Improvement Techniques for RSSI Based Indoor Localization: RF Fingerprinting and RF Multilateration

Shayokh¹

2014

COM

View full text Add to dashboard Cite

In this paper, Performance improvement techniques for two popular RSSI based indoor localization methods have been studied experimentally by using Wi-Fi modems. The improvement of RF Fingerprinting and RSSI Multi-lateration methods have been suggested from different aspects for both line-of-sight (LoS) and non-line-of-sight (nLoS) medium in an indoor environment. Various testing scenarios have been examined for comparison of the two methods, as the performance level in RF Fingerprinting is mainly depend on the number of modems, as well as the density of training data and, the multilateration method is mainly depend on correctly modeling of the path loss exponent. Optimizing and defining a unique path loss exponent for each of the wireless transmitter modems, testing in a LoS and a nLoS medium, changing the number of transmitters, etc, have been tried and performance plots have been shown for comparison purposes.

show abstract

An experimental comparison study on indoor localization: RF fingerprinting and Multilateration methods

Cited by 10 publications

References 6 publications

Review of Indoor Positioning: Radio Wave Technology

Review of Indoor Positioning: Radio Wave Technology

A Review on Indoor Localization Techniques using Received Signal Strength

Experimental Performance Analysis and Improvement Techniques for RSSI Based Indoor Localization: RF Fingerprinting and RF Multilateration

Contact Info

Product

Resources

About