Indoor environment propagation review

Obeidat, H. A.; Alabdullah, Ali A. S.; Elkhazmi, E.A.; Suhaib, W.; Obeidat, Omar; Alkhambashi, Majid; Mosleh, Mahmood F.; Ali, Nazar; Dama, Y. A. S.; Abidin, Zainal; Abd-Alhameed, R. A.; Excell, Peter S.

doi:10.1016/j.cosrev.2020.100272

Cited by 13 publications

(7 citation statements)

References 81 publications

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“…With those challenges, RSS measurements will be unpredictable. To solve those problems, Wi-Fi fingerprint technique can be used to find accurate RSS and then accurate distance based on those signal as the authors in [11]- [20], [21], [22]. The weighted K-nearest neighbor (WKNN) algorithm was used in estimate RSS by using nearest fingerprint to estimate location.…”

Section: Localization Based On Rss and Toamentioning

confidence: 99%

Accurate indoor positioning system based on modify nearest point technique

Mustafa

Joey²,

AlSalam³

et al. 2022

IJECE

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Wireless fidelity (Wi-Fi) is common technology for indoor environments that use to estimate required distances, to be used for indoor localization. Due to multiple source of noise and interference with other signal, the receive signal strength (RSS) measurements unstable. The impression about targets environments should be available to estimate accurate targets location. The Wi-Fi fingerprint technique is widely implemented to build database matching with real data, but the challenges are the way of collect accurate data to be the reference and the impact of different environments on signals measurements. In this paper, optimum system proposed based on modify nearest point (MNP). To implement the proposal, 78 points measured to be the reference points recorded in each environment around the targets. Also, the case study building is separated to 7 areas, where the segmentation of environments leads to ability of dynamic parameters assignments. Moreover, database based on optimum data collected at each time using 63 samples in each point and the average will be final measurements. Then, the nearest point into specific environment has been determined by compared with at least four points. The results show that the errors of indoor localization were less than (0.102 m).

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Section: Localization Based On Rss and Toamentioning

confidence: 99%

Accurate indoor positioning system based on modify nearest point technique

Mustafa

Joey²,

AlSalam³

et al. 2022

IJECE

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“…In addition, the properties of these devices were listed in Table 1. In context, the serious effects of different building materials on propagation characteristics were taken into consideration by obtaining the value of relative permittivity (ε) and conductivity (σ) as listed in Table 2 and as recommended by International Telecommunication Union (ITU) [30][31][32]. It is worth to mention, that the selected bandwidth is 20 MHz working with 2.4 GHz frequency.…”

Section: Case Studymentioning

confidence: 99%

Hybrid localization algorithm based on received signal strength and angle-of-arrival for indoor location estimation

Mosleh

Zaal²,

Abbas³

2021

TELKOMNIKA

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The huge ubiquitous deployment of wireless technologies and the pervasive availability of smart devices, indoor localization has become one of the most interesting topics in numerous location-based services. Where several methods have been adopted to estimate and localize the mobile and user location. The earliest and most interesting method was based on received signal strength (RSS) measurement. However, such method has showed weakness in handling the accurate estimation results. Recently, researchers start gather several different methods to achieve the advantages of each method and achieve higher accurate estimation. Hence, in this paper a hybrid localization algorithm has been designed and proposed based on the use of both RSS and angle-ofarrival (AoA). The algorithm has been tested in a three-dimensional indoor building; we are taking the effects of different building materials. The results were obtained depending on the measurement of RSS and AoA gathered from each received point and by using two AP devices for more accuracy in positioning coordination, the type of the transmitters is directional.

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“…Whereas the radio channel below 100 GHz is already well investigated for typical indoor scenarios [1]- [3], little is known about the radio channel above 100 GHz. In the Dband, ranging from 110 to 170 GHz, the 60 GHz available bandwidth suffers less than the 60 GHz mmWave frequency band from atmospheric absorption [4].…”

Section: Introductionmentioning

confidence: 99%

Directional Sub-THz Antenna-Channel Modelling for Indoor Scenarios

Beelde

David

Tanghe

et al. 2021

2021 15th European Conference on Antennas and Propagation (EuCAP)

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In this paper, sub-THz channel sounding is discussed for indoor scenarios. A directional D-band channel sounder, operational in the full band ranging from 110 to 170 GHz, is presented. We examine the influence of the antenna characteristics on the channel sounder. The channel sounder is used for Line-of-Sight path loss (PL) modelling at sub-THz frequencies for distances up to 4 m. Validation measurements confirm the small beamwidth of the antenna, ranging from 12 degrees for 110 GHz to 11 degrees for 170 GHz. An antenna de-embedding methodology is presented. Fitting Line-of-Sight PL at center frequency 140 GHz to a one-slope model gives a reference PL of 76.0 dB at 1 m and a PL exponent of 1.9. The reference PL is slightly higher than free space PL, whereas the PL exponent is slightly lower.

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Indoor environment propagation review

Cited by 13 publications

References 81 publications

Accurate indoor positioning system based on modify nearest point technique

Accurate indoor positioning system based on modify nearest point technique

Hybrid localization algorithm based on received signal strength and angle-of-arrival for indoor location estimation

Directional Sub-THz Antenna-Channel Modelling for Indoor Scenarios

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