Bluetooth, Floor-Plan, and Microelectromechanical Systems-Assisted Wide-Area Audio Indoor Localization System: Apply to Smartphones

Xu, Shihao; Chen, Ruizhi; Guo, Guangyi; Zheng, Lingling; Qian, Long; Ye, Feng; Liu, Zuoya; Huang, Lixiong

doi:10.1109/tie.2021.3111561

Cited by 27 publications

(10 citation statements)

References 26 publications

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“…Moreover, audio components offer cost advantages and easy deployment. When considering the audio types, acoustic positioning signals can be classified into single-frequency signals, orthogonal coding-based modulation signals, and linear frequency modulation (chirp) signals [23]. Among these, single-frequency signals are typically within the audible range but exhibit limited interference resistance.…”

Section: Acoustic-based Positioningmentioning

confidence: 99%

“…By applying related technology such as real-time kinematic (RTK) [1] and precise point positioning (PPP) [2], along with high-precision atmospheric rectification It can be seen from Table 1 that the current reviews about indoor positioning technologies mostly involve one or several kinds of positioning methods, while none of the current reviews focus on meter-level indoor positioning methods. Therefore, this paper provides a comprehensive discussion and summarization of advanced technologies with positioning accuracy better than 1 m. Currently, numerous scholars have conducted research on various positioning technologies, including Wi-Fi Fine Time Measurement (FTM) [21], ultrawideband (UWB) [22], acoustic signal [23], pseudolites [24], 5G [25], magnetic field [26], channel state information (CSI) [27], visible light [28], inertial navigation [29], visual odometry [30], quantum navigation [31], and others. These merging sustainable positioning technologies significantly improve the accuracy of indoor positioning and meet the application needs of most indoor scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Current Status and Future Trends of Meter-Level Indoor Positioning Technology: A Review

Qi,

Liu,

et al. 2024

Remote Sensing

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High-precision indoor positioning technology is regarded as one of the core components of artificial intelligence (AI) and Internet of Things (IoT) applications. Over the past decades, society has observed a burgeoning demand for indoor location-based services (iLBSs). Concurrently, ongoing technological innovations have been instrumental in establishing more accurate, particularly meter-level indoor positioning systems. In scenarios where the penetration of satellite signals indoors proves problematic, research efforts focused on high-precision intelligent indoor positioning technology have seen a substantial increase. Consequently, a stable assortment of location sources and their respective positioning methods have emerged, characterizing modern technological resilience. This academic composition serves to illuminate the current status of meter-level indoor positioning technologies. An in-depth overview is provided in this paper, segmenting these technologies into distinct types based on specific positioning principles such as geometric relationships, fingerprint matching, incremental estimation, and quantum navigation. The purpose and principles underlying each method are elucidated, followed by a rigorous examination and analysis of their respective technological strides. Subsequently, we encapsulate the unique attributes and strengths of high-precision indoor positioning technology in a concise summary. This thorough investigation aspires to be a catalyst in the progression and refinement of indoor positioning technologies. Lastly, we broach prospective trends, including diversification, intelligence, and popularization, and we speculate on a bright future ripe with opportunities for these technological innovations.

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Section: Acoustic-based Positioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Current Status and Future Trends of Meter-Level Indoor Positioning Technology: A Review

Qi,

Liu,

et al. 2024

Remote Sensing

Self Cite

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“…The first category addresses larger areas, such as halls or multi-story buildings [ 5 , 6 ]. This scenario often requires multiple anchor points as references [ 7 ], or multi-sensor fusion [ 8 ]. The localization requirements are meter-level plane localization, and floor identification.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Indoor Three-Dimensional Localization System with Sensor Fusion Based on Ultra-Wideband Ranging and Dual Barometer Altimetry

Bao,

Li,

Lee

et al. 2024

Sensors

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Accurate three-dimensional (3D) localization within indoor environments is crucial for enhancing item-based application services, yet current systems often struggle with localization accuracy and height estimation. This study introduces an advanced 3D localization system that integrates updated ultra-wideband (UWB) sensors and dual barometric pressure (BMP) sensors. Utilizing three fixed UWB anchors, the system employs geometric modeling and Kalman filtering for precise tag 3D spatial localization. Building on our previous research on indoor height measurement with dual BMP sensors, the proposed system demonstrates significant improvements in data processing speed and stability. Our enhancements include a new geometric localization model and an optimized Kalman filtering algorithm, which are validated by a high-precision motion capture system. The results show that the localization error is significantly reduced, with height accuracy of approximately ±0.05 m, and the Root Mean Square Error (RMSE) of the 3D localization system reaches 0.0740 m. The system offers expanded locatable space and faster data output rates, delivering reliable performance that supports advanced applications requiring detailed 3D indoor localization.

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“…However, in indoor situations, the location services are not precise due to weak signals and low penetration [19]. To accomplish indoor localization, researchers have suggested some well-known technologies like radio-frequency identification (RFID) [20], UWB [21], Bluetooth [22], Wi-Fi [23], light [24] and audio [25]. Since many households already have Wi-Fi infrastructures in place, this article uses RF-based Wi-Fi sensing to avoid the need to incorporate extra sensing technologies.…”

Section: Introductionmentioning

confidence: 99%

Software-Defined Radio-Based Contactless Localization for Diverse Human Activity Recognition

et al. 2023

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This paper presents a study on contactless localization for activity recognition based on radio-frequency sensing. The focus of this study is on the quantitative analysis of the collected data, which is in the form of channel state information (CSI). The proposed method utilizes a software-defined radio (SDR) system in combination with an ensemble learning technique to localize and identify daily living activities such as leaning, sitting, standing and walking. Specifically, SDR device, Universal Software Radio Peripheral (USRP) models X300/X310 are utilized to collect data on the aforementioned activities. The data is collected from an empty space and a participant performing daily living activities in different territories. The acquired data is labelled based on the region, zone and performed activity. The CSI data is subsequently preprocessed and fed into an ensemble-based machine learning algorithm for classification. Furthermore, the stability analysis of the proposed method is performed to evaluate its reliability and robustness. The performance of the algorithm is evaluated using various metrics, including a confusion matrix, accuracy, cross-validation score and training time [1], [2]. The results demonstrate that the proposed ensemblebased approach achieves a high accuracy of up to 90% in activity recognition, highlighting the effectiveness of the proposed method in contactless localization for activity recognition.

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Bluetooth, Floor-Plan, and Microelectromechanical Systems-Assisted Wide-Area Audio Indoor Localization System: Apply to Smartphones

Cited by 27 publications

References 26 publications

Current Status and Future Trends of Meter-Level Indoor Positioning Technology: A Review

Current Status and Future Trends of Meter-Level Indoor Positioning Technology: A Review

An Enhanced Indoor Three-Dimensional Localization System with Sensor Fusion Based on Ultra-Wideband Ranging and Dual Barometer Altimetry

Software-Defined Radio-Based Contactless Localization for Diverse Human Activity Recognition

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