TWPalo: Through-the-Wall Passive Localization of Moving Human with Wi-Fi

Wang, Jiacheng; Tian, Zengshan; Yang, Xiaolong; Zhou, Mu

doi:10.1109/globecom38437.2019.9013293

Cited by 9 publications

(8 citation statements)

References 16 publications

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“…Virtual simulation is a simulation technology that simulates the physical world by converting physical models into software. e characteristics and parameters of the physical world are reflected through 3D high-fidelity modeling [14,15]. A digital twin is based on virtual simulation, real-time perception, diagnosis, and prediction of the state of physical objects through actual measurement, simulation, and data analysis; regulation of the behavior of physical objects through optimization and instructions; and self-evolution through mutual learning between related digital models.…”

Section: Research On the Connotation Of The Whole Life Cycle Of Thementioning

confidence: 99%

Construction of Heritage Digital Resource Platform Based on Digital Twin Technology

Jia

Yan

2022

Mathematical Problems in Engineering

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In order to preserve and inherit material cultural heritage, the author proposes a method for digital construction of the Great Wall’s cultural heritage based on digital twin. This method discusses the connotation of the whole life cycle of the Great Wall digital twin, proposes the research path and content of the digital twin construction of the Great Wall cultural heritage, and conducts the application of the Great Wall digital twin to evaluate the application effect. The evaluation results show that users’ overall satisfaction with Great Wall’s digital twin application is relatively high, and the average score of each indicator is above 4, and the functional experience is slightly poor. Conclusion. This method can provide full life cycle visualization services for the digital archiving, application, and decision-making of the Great Wall cultural heritage and provide theoretical and methodological references for the preservation and inheritance of material cultural heritage.

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Section: Research On the Connotation Of The Whole Life Cycle Of Thementioning

confidence: 99%

Construction of Heritage Digital Resource Platform Based on Digital Twin Technology

Jia

Yan

2022

Mathematical Problems in Engineering

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“…Based on the above analysis, it can be seen that, through the phase difference between antennas, subcarriers, and measurements, the CSI trace describes the AoA, ToF, and the DFS, respectively. So, the 3D-MUSIC algorithm, presented in our previous work [27], is used to estimate signal AoA, ToF, and DFS jointly.…”

Section: Csi Obtaining and Signal Parameter Estimationmentioning

confidence: 99%

“…Leveraging the incoherence between the direct signal and target-induced reflection (TIR), MaTrack [26] estimates the AoA of the TIR and combines the estimated AoA with the locations of receivers to achieve passive target localization. By using the three-dimensional multiple signal classification (3D-MUSIC) algorithm and the proposed interference cancellation algorithm, our previous work [27] estimates the AoA, ToF, and Doppler frequency shift (DFS) of the TIR under the through-the-wall (TTW) scenario, so as to achieve TTW passive moving target localization. Some other systems, such as Widar 2.0 [28] and mD-Track [14], use SAGE [29], cross-correlation, and other algorithms to estimate more signal parameters, including ToF, AoA, AoD, and DFS, and construct geometric constraints based on the estimated signal parameters and locations of transmitter and receiver, to achieve passive localization of the target.…”

Section: Introductionmentioning

confidence: 99%

Passive Localization of Moving Target with Channel State Information

et al. 2021

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With the popularity of wireless networks and smart devices, wireless signal-based passive target sensing and localization have become a hot research topic and attracted numerous researchers’ interests. The existing passive localization solutions require multiple receivers, which is not practical for real-world applications. In response to this compelling problem, in this paper, we propose a practical single access point-based passive moving target localization system. Concretely, it first utilizes multiple antennas of the access point to form an antenna array and extended antenna, to capture channel state information (CSI) at different spatial locations. Then, leveraging the obtained CSI, the signal parameters, including the angle of arrival (AoA) and time of flight (ToF), are estimated. Based on the estimated signal parameters and the locations of the antenna array and extended antenna, finally, the passive localization of the moving target is realized. Comprehensive experiments are conducted under the real-world scenario with two different test platforms, and the experimental results show the proposed algorithm’s median localization can reach 1.087 m when the number of antennas is 4 and the signal bandwidth is 80 MHz, demonstrating the effectiveness of the proposed algorithm.

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“…The commonly used DFS technologies for target recognition are based on UWB signal and WiFi signal. However, the most widely used scene of WiFi signal is indoor, such as indoor positioning [3,4], human activity through the wall detection [5], occupancy estimation [6] and so on. Ultra-wideband (UWB) signals are universally worked for intrusion detection in sense-through-foliage environment due to their advantages such as high transmission rate, strong anti-interference ability and low cost as well as good target detection in foliage environment [7,8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Deep Factor Analysis for Weather Varied Sense-through-foliage Target Detection

Xue

Jiang²,

Sun

et al. 2021

Preprint

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In this paper, the influence of seasonal variation on target detection accuracy and the effectiveness of deep factor analysis(DFA) in signal denoising are studied. To extensively verify the universality of the DFA_based approach, a variety of target objects, including no target, human, wood board and iron cabinet targets, are measured in foliage environment under four different weather conditions. Then, after removing background noise from the collected data, deep factor analysis is carried out to reduce the impact of noise. The experimental results show that the influence of weather variation on target detection can be effectively eliminated by DFA_based algorithm, which can improve the average classification accuracy in all seasons. Finally, by means of cross validation, the effectiveness of DFA_based algorithm on signal denoising and the influence on target detection accuracy are further studied. The method is stable and universal in any weather conditions, even in foggy and snowy days, which can be stable at about 93%.

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TWPalo: Through-the-Wall Passive Localization of Moving Human with Wi-Fi

Cited by 9 publications

References 16 publications

Construction of Heritage Digital Resource Platform Based on Digital Twin Technology

Construction of Heritage Digital Resource Platform Based on Digital Twin Technology

Passive Localization of Moving Target with Channel State Information

Deep Factor Analysis for Weather Varied Sense-through-foliage Target Detection

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