Indoor localization distance error analysis with UWB wireless propagation model using positioning method

Chaisang, Aditep; Promwong, Sathaporn

doi:10.1109/icdamt.2018.8376534

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…On the whole, for all results, the average errors were (0.331) m based on the RSS method and (0.251) m based on ToA. From previous results, it can be noted that the estimated distance is close to a real distance for the distances less than (20) m and slightly increases in the distance more than (20) m, and the errors stay in the acceptable value up to (40) m. These results are compared with the research [32], where the researchers relied on static values. The results achieved in such reference reported that ToA is better than the RSS method and that errors have been identified (0.48-1.52) m. Also, the researcher of [33] used min/max positioning based on static values of both ToA and RSS measurements.…”

Section: Resultsmentioning

confidence: 51%

Performance Enhancements of the Indoor Localization System Based on Dynamic ToA and RSS Mechanisms

Abbas

Abed

Alhyani

et al. 2021

Proceedings of International Conference on Emerging Technologies and Intelligent Systems

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Localization is the process of estimating the position of targets indoors or outdoors. In indoor scenarios, there are challenges to using the Global Positioning System (GPS) according to multipath environments which is the main reason. The techniques which are widely used for indoor positioning are Time of Arrival (ToA) and Receive Signal Strength (RSS). The key issues that led to elevate errors are the Non-Line of Sight (NLoS) and multipath. Many researchers are trying to address these problems using various propose techniques they approach an accuracy depending on their proposed algorithms. In this paper, a new approach is based on dynamic mechanisms to choose specific values of the path loss exponent (c) and Gaussian variable (Xr) to match the specific environment that straight each transmitter and receiver individually based on ToA and RSS. The idea depends on taking into account the location of each recipient, which differs from the other in terms of the number of barriers that separate him and the sender. To apply the proposed system, a case study building is chosen for such a task. Also, the Wireless Insite Software (WIS) was used to simulate such building and evaluate the proposed algorithm. In such a proposal, 30 Receivers (RXs), and 3Transmitters (TXs) were deployed in suitable locations through the case study. The result obtained by WIS is supported by a special algorithm implemented by the MATLAB package to achieve the average error. The results show that the proposed scheme improves the accuracy which does not exceed (0.331) m and (0.251) m based on RSS and ToA measurement respectively in the distance above (25) m. The ToA with the proposed technique is slightly outperformed RSS in distances above (25) m and specific in the Line of Sight (LoS) scenario.

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Section: Resultsmentioning

confidence: 51%

Performance Enhancements of the Indoor Localization System Based on Dynamic ToA and RSS Mechanisms

Abbas

Abed

Alhyani

et al. 2021

Proceedings of International Conference on Emerging Technologies and Intelligent Systems

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“…Such results confirm that dividing the case study area into more zones leads to more accuracy. These results are compared with the research [32], where the researchers relied on the results achieved in their research, it was reported that ToA is better than the RSS method and that errors have been identified (0.48-1.52) m.…”

Section: Discussionmentioning

confidence: 94%

Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA

Mosleh

Abed

Hamza

2021

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Designing a localization system for an indoor environment faces more challenges because of multipath and interference problems. In this field, the most important techniques used for such environment, are RSS and ToA which need to be improved especially from more interference because of the huge multipath problems. In this paper, a case study of a selected building is chosen in order to apply the proposed technique of this research. Such proposal is based on the PT ‎ of the area in the case study into MZ. Each zone is allocated special values for the parameters used to estimate the target positions. WI package is used to simulate the case study area and apply such proposal based on RSS and ToA. The results confirm that the estimated locations are close to the real locations by the average error of (2.8) meter and (0.192) meter for ToA corresponding one zone and four zones ‎respectively. ‎ In contrast, the results of our experiment show that the accuracy is improved from an average error of (2.4) meter and (0.217) meter for RSS corresponding one zone and four zones ‎respectively‎. Such results confirm that dividing the case study area into more zones leads to more accuracy.

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“…This broad bandwidth also involves a high temporal resolution, enabling a higher accuracy, and hence more accurate positioning of each target device in the network [134]. The IEEE 802.15.4a (UWB) wireless communication technologies are quickly developing and they will be in the 5G technology [29]. UWB transmission is described by its capacity to communicate short pulses with low-power spectral density in a high-frequency range, from 3.1 to 10.6 GHz.…”

Section: Uwb Technologymentioning

confidence: 99%

“…Localization based on UWB concentrates on the trilateration and angulation methods [29,68,[138][139][140][141] on the unknown location of a target device using three or more beacon nodes. Range-based approaches such as TOA and TDOA have good accuracy and are most suited for localization and ranging for wireless networks because of the large bandwidth of UWB signals [57].…”

Section: Uwb Technologymentioning

confidence: 99%

“…Two groups of indoor localization systems are used, namely active localization and passive localization [22]. RFID [23][24][25][26][27][28], UWB [29][30][31], Bluetooth [32][33][34], ZigBee [35][36][37][38], IR [15,17,39], ultrasonic [40][41][42], hybrid systems and the standard of the Institution of Electrical and Electronic Engineering (IEEE) 802.11 WLANs [42] are included in active IPS, in which the person is attached to the tag or device to enable locating the position in a dynamic indoor localization framework. If the person does not carry any tag or device alongside with the trajectory in the location area, then it is defined as a passive indoor localization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Review of Indoor Positioning: Radio Wave Technology

Geok

Aung

et al. 2020

Applied Sciences

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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.

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Indoor localization distance error analysis with UWB wireless propagation model using positioning method

Cited by 7 publications

References 2 publications

Performance Enhancements of the Indoor Localization System Based on Dynamic ToA and RSS Mechanisms

Performance Enhancements of the Indoor Localization System Based on Dynamic ToA and RSS Mechanisms

Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA

Review of Indoor Positioning: Radio Wave Technology

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