Precise, Low-Cost, and Large-Scale Indoor Positioning System Based on Audio Dual-Chirp Signals

Liu, Zuoya; Chen, Ruizhi; Ye, Feng; Huang, Lixiong; Guo, Guangyi; Xu, Shihao; Chen, Danni; Chen, Liang

doi:10.1109/tvt.2022.3205960

Cited by 13 publications

(3 citation statements)

References 23 publications

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“…Nonetheless, severe environmental noise interference, such as waves or reflected signals at the same frequency as the transmission signal, can adversely affect its positioning accuracy. Additionally, signal attenuation in practical scenarios limits its coverage range, thus constraining its application in large-scale indoor environments [40].…”

Section: Sound Sensorsmentioning

confidence: 99%

Robotics Perception and Control: Key Technologies and Applications

Luo,

Zhou,

Zeng

et al. 2024

Micromachines

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The integration of advanced sensor technologies has significantly propelled the dynamic development of robotics, thus inaugurating a new era in automation and artificial intelligence. Given the rapid advancements in robotics technology, its core area—robot control technology—has attracted increasing attention. Notably, sensors and sensor fusion technologies, which are considered essential for enhancing robot control technologies, have been widely and successfully applied in the field of robotics. Therefore, the integration of sensors and sensor fusion techniques with robot control technologies, which enables adaptation to various tasks in new situations, is emerging as a promising approach. This review seeks to delineate how sensors and sensor fusion technologies are combined with robot control technologies. It presents nine types of sensors used in robot control, discusses representative control methods, and summarizes their applications across various domains. Finally, this survey discusses existing challenges and potential future directions.

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Section: Sound Sensorsmentioning

confidence: 99%

Robotics Perception and Control: Key Technologies and Applications

Luo,

Zhou,

Zeng

et al. 2024

Micromachines

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“…At this stage, various indoor positioning systems (IPSs) have been developed to provide indoor location information for users with different precision levels, including Wireless Fidelity (Wi-Fi) [5], Bluetooth Low Energy (BLE) [6], Ultra-wideband (UWB) [7], 5th Generation Mobile Communication Technology (5G) [8], acoustic source [9], and microelectro-mechanical systems (MEMS) sensors [10]. However, due to the hardware and signal limitations and differences between consumer-level terminals, the single location source cannot meet the positioning requirements of universality, low-cost, and widecoverage in large-scale and complex urban indoor environments.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Indoor Positioning System Based on Acoustic Ranging and Wi-Fi Fingerprinting under NLOS Environments

Zhang

Chen

et al. 2023

Remote Sensing

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An accurate indoor positioning system (IPS) for the public has become an essential function with the fast development of smart city-related applications. The performance of the current IPS is limited by the complex indoor environments, the poor performance of smartphone built-in sensors, and time-varying measurement errors of different location sources. This paper introduces a hybrid indoor positioning system (H-IPS) that combines acoustic ranging, Wi-Fi fingerprinting, and low-cost sensors. This system is designed specifically for large-scale indoor environments with non-line-of-sight (NLOS) conditions. To improve the accuracy in estimating pedestrian motion trajectory, a data and model dual-driven (DMDD) model is proposed to integrate the inertial navigation system (INS) mechanization and the deep learning-based speed estimator. Additionally, a double-weighted K-nearest neighbor matching algorithm enhanced the accuracy of Wi-Fi fingerprinting and scene recognition. The detected scene results were then utilized for NLOS detection and estimation of acoustic ranging results. Finally, an adaptive unscented Kalman filter (AUKF) was developed to provide universal positioning performance, which further improved by the Wi-Fi accuracy indicator and acoustic drift estimator. The experimental results demonstrate that the presented H-IPS achieves precise positioning under NLOS scenes, with meter-level accuracy attainable within the coverage range of acoustic signals.

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“…A sampling frequency48 kHz and four signals: 19.2-18, 19.4-20.6, 18-19.2, 20.6-19,2 kHz. A guard interval of 5 ms.…”

mentioning

confidence: 99%

Design of Acoustic Signal for Positioning of Smart Devices

Hromadova,

Brida,

Machaj

2023

Sensors

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This paper addresses the limitations of using smartphones in innovative localization systems based on audio signal processing, particularly in the frequency range of 18–22 kHz, due to the lack of technical specifications and noise characterization. We present a comprehensive study on signal design and performance analysis for acoustic communication in air ducts, focusing on signal propagation in indoor environments considering room acoustics and signal behavior. The research aims to determine optimal parameters, including the frequency band, signal types, signal length, pause duration, and sampling frequency, for the efficient transmission and reception of acoustic signals for commercial off-the-shelf (COST) devices. Factors like inter-symbol interference (ISI) and multiple access interference (MAI) that affect signal detection accuracy are considered. The measurements help define the frequency spectrum for common devices like smartphones, speakers, and sound cards. We propose a custom signal with specific properties and reasons for their selection, setting the signal length at 50 ms and a pause time of 5 ms to minimize overlap and interference between consecutive signals. The sampling rate is fixed at 48 kHz to maintain the required resolution for distinguishing individual signals in correlation-based signal processing.

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Precise, Low-Cost, and Large-Scale Indoor Positioning System Based on Audio Dual-Chirp Signals

Cited by 13 publications

References 23 publications

Robotics Perception and Control: Key Technologies and Applications

Robotics Perception and Control: Key Technologies and Applications

Hybrid Indoor Positioning System Based on Acoustic Ranging and Wi-Fi Fingerprinting under NLOS Environments

Design of Acoustic Signal for Positioning of Smart Devices

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