A Performance Limit of TOA-Based Location-Aware Wireless Networks With Ranging Outliers

Wu, Nan; Xiong, Yifeng; Wang, Hua; Kuang, Jingming

doi:10.1109/lcomm.2015.2447543

Cited by 22 publications

(9 citation statements)

References 13 publications

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“…Traditional indoor localization technology based on BS signal can be categorized into three groups: time based [26], [27], angle based [28], [29] and fingerprint based algorithm [30], [31]. Time-based and angle-based algorithms have low commercial cost, while they are usually greatly affected by the physical environment and channel quality.…”

Section: B Related Indoor Localization Technologymentioning

confidence: 99%

An Accurate and Real-Time Commercial Indoor Localization System in LTE Networks

Wei

Xie

2021

IEEE Access

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In this paper, a commercial high-accuracy, low-cost and real-time indoor building-level localization system is proposed, which is applicable for locating the Minimization of Drive-Tests (MDT) data in the long-term-evolution (LTE) cellular communication network system. The system utilizes MDT data containing Global Navigation Satellite Systems (GNSS) information which is easy to collect and low cost to assist indoor localization, instead of using indoor drive test (DT) data which needs high manual collection and maintenance costs. In order to compensate for the loss of location accuracy, this paper innovatively divide the online process into two phases: indoor and outdoor (IO) identification phase and indoor localization phase. A real-time and precise GMM-based unsupervised algorithm is applied to identifying if the non-GNSS MDT data is in indoor environment in IO identification phase. Then, a multi-class classification algorithm based on Bayesian classifier is used to locate indoor MDT data to the specific building. The results of experiments conducted in an in-service LTE network using more than 100 LTE base stations demonstrate that the proposed technique yields a IO identification accuracy of 90% and an indoor location accuracy of 49.3m(@67%) respectively, which provides at least 30.2% enhancement in location accuracy compared to traditional technology without DT fingerprint database. This proposed indoor localization technique is applicable in network optimization and Operation and Maintenance (O&M) to assist communication service providers to reduce their operating expense (OPEX) by locating those MDT data without GNSS information. INDEX TERMS Long-term-evolution, indoor localization, indoor and outdoor identification, Bayesian classifier, Gaussian mixture model, penetration loss.

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Section: B Related Indoor Localization Technologymentioning

confidence: 99%

An Accurate and Real-Time Commercial Indoor Localization System in LTE Networks

Wei

Xie

2021

IEEE Access

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“…Different complex antennas, e.g., reconfigurable [14,15] or MIMO [16,17] antennas, have been applied for localization systems. For the time of arrival and angle of arrival methods, the synchronization problem and transceivers' complexity are of key significance [18,19]. Practical implementations of indoor localization involve a Phase Fingerprinting (PhaseFi) system with calibrated Channel State Information (CSI) [20].…”

Section: Introductionmentioning

confidence: 99%

RSS-Based Indoor Localization System with Single Base Station

Al‐Bawri¹,

Islam²,

Singh³

et al. 2022

Computers, Materials &Amp; Continua

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The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. It is demonstrated the system can identify user's real-time location with a maximum estimation error below 0.7 m for 80% confidence Cumulative Distribution Function (CDF) user level, demonstrating the ability to accurately estimate the receiver's location within the room. The system is intended as a cost-efficient indoor localization technique, offering simplicity and easy integration with existing wireless communication systems. Unlike comparable single base station localization techniques, the proposed system does not require beam scanning, offering stable communication capacity while performing the localization process.

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“…To estimate its position, the Mobile Station (MS) can process signals coming from neighboring Base Stations (BSs), such as the Received Signal Strength Indicator RSSI, 16–18 Time of Arrival (ToA), 19–21 Time Difference of Arrival (TDoA), 22,23 and Angle of Arrival (AoA) 24 . In order to improve the accuracy, an algorithm combining RSSI and ToA was introduced in Zhang et al 25 …”

Section: Introductionmentioning

confidence: 99%

Low power hardware design and its mathematical modeling for fast‐exact geolocalization system in wireless networks

Zaidi

Bouazzi

Al-Rayif

et al. 2022

Int J Communication

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Summary A significant goal in achieving position calculation is to reduce and simplify the instructions that the Mobile Station (MS) has to accomplish in the location determination algorithm. Standard techniques widely used in many applications can be classified into Received Signal Strength Indicator (RSSI), Angle of Arrival (AoA), Time Difference of Arrival (TDoA), and Time of Arrival (ToA). However, all are almost determined by the standard trigonometric complex computation methods that are usually implemented in software where the complexity is considerable. The development of a simple and efficient technique for MS location estimation is the main objective of this paper. To design a modern hardware‐oriented algorithm, a new approach using simple Add‐and‐Shift operations in the computation is proposed and it can be implemented in a hardware target. In order to accelerate the geopositioning process, the Coordinate Rotation Digital Computer (CORDIC) algorithm has been used in this proposal. The proposed algorithm is simpler and faster than conventional ones; thus, complexity in terms of time, power consumption, and chip area has been reduced. Therefore, the algorithm is suitable for applications with limited computational and power resources. Based on comparisons with the state‐of‐the‐art algorithms, it is concluded that the proposed technique is more exact and less complex.

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A Performance Limit of TOA-Based Location-Aware Wireless Networks With Ranging Outliers

Cited by 22 publications

References 13 publications

An Accurate and Real-Time Commercial Indoor Localization System in LTE Networks

An Accurate and Real-Time Commercial Indoor Localization System in LTE Networks

RSS-Based Indoor Localization System with Single Base Station

Low power hardware design and its mathematical modeling for fast‐exact geolocalization system in wireless networks

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