RSSI-based localization in cellular networks

Wang, Lei; Zawodniok, Maciej

doi:10.1109/lcnw.2012.6424069

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…To provide reliable positioning indoors, many terrestrial-based wireless communication systems have been explored and equipped to perform indoor localization [2]. These include localization through WiFi and Bluetooth technologies [3], which are widely available nowadays in almost any connected mobile device [4,5], or through radio frequency identification (RFID) [6] by subtly adjusting its architecture so that the position information of an object, in addition to its identification [7], can be provided. However, as these technologies were not initially designed to specifically provide localization services, most of them tend to be limited in important respects, such as accuracy, space coverage, and the reading range at which objects can still be detected.…”

Section: Introductionmentioning

confidence: 99%

Advancements in Industrial RTLSs: A Technical Review of UWB Localization Devices Emphasizing Antennas for Enhanced Accuracy and Range

Benouakta,

Ferrero,

Lizzi

et al. 2024

Electronics

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Over the past few years, the Internet of Things paradigm has brought renewed significant interest to indoor positioning, tracking, and localization topics, principally since real-time locating technology allows a reference node to infer the position of tagged target nodes, creating the opportunity for millions of object-to-object awareness applications. This study first presents an overview of positioning localization techniques and discusses the use of ultra-wide bandwidth technology for complex environment monitoring, followed by consideration of the error sources that are present in line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios between a reader and a tag. A technical review of the available industrial and commercial UWB real-time locating transceivers (RTLSs) is presented, with a focus on the frontend antennas that are integrated in these systems to establish the needed wireless communication for positioning. Then, the different characteristics of these antennas are summarized and discussed, along with their impact on the localization performance in terms of the reading range, position information accuracy, object-orientation-independent localization, and multipath mitigation. Solutions are suggested to achieve antenna-based improvements to the performance of RTLSs.

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Section: Introductionmentioning

confidence: 99%

Advancements in Industrial RTLSs: A Technical Review of UWB Localization Devices Emphasizing Antennas for Enhanced Accuracy and Range

Benouakta,

Ferrero,

Lizzi

et al. 2024

Electronics

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show abstract

“…According to the regulations, U.S. Enhanced 911 (E-911) adopted by the U.S. Federal Communications Commission, all emergency calls made by cellular phones have to be localized within an accuracy of 125 m in 67% of the cases [3]. GPS is favorable due to its high accuracy, but it is the most power-consuming positioning method.…”

Section: Introductionmentioning

confidence: 99%

Mobile Localization Based on Received Signal Strength and Pearson's Correlation Coefficient

Liu

Zhang

et al. 2015

International Journal of Distributed Sensor Networks

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Being applicable for almost every scenario, mobile localization based on cellular network has gained increasing interest in recent years. Since received signal strength indication (RSSI) information is available in all mobile phones, RSSI-based techniques have become the preferred method for GSM localization. Although the GSM standard allows for a mobile phone to receive signal strength information from up to seven base stations (BSs), most of mobile phones only use the information of the associated cell as its estimated position. Therefore, the accuracy of GSM localization is seriously limited. In this paper, an algorithm for GSM localization is proposed with RSSI and Pearson's correlation coefficient (PCC). The information of seven cells, including the serving cell and six neighboring cells, is used to accurately estimate the mobile location. With redundant information, the proposed algorithm restrains the error of Cell-ID and shows good robustness against environmental change. Without any additional device or prior statistical knowledge, the proposed algorithm is implementable on common mobile devices. Furthermore, in the practical test, its maximum error is below 550 m, which is 100 m better than that of Cell-ID, and the mean error is below 150 m, which is 250 m better than Cell-ID.

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Method for Indoor Localization of Mobile Devices Based on AoA and Kalman Filtering

Alexandrov

Monov

2018

Advanced Computing in Industrial Mathematics

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RSSI-based localization in cellular networks

Cited by 9 publications

References 11 publications

Advancements in Industrial RTLSs: A Technical Review of UWB Localization Devices Emphasizing Antennas for Enhanced Accuracy and Range

Advancements in Industrial RTLSs: A Technical Review of UWB Localization Devices Emphasizing Antennas for Enhanced Accuracy and Range

Mobile Localization Based on Received Signal Strength and Pearson's Correlation Coefficient

Method for Indoor Localization of Mobile Devices Based on AoA and Kalman Filtering

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