CSI Component Reconstruction-Based AoA Estimation for Subtle Human-Induced Reflection Under the TTW Scenario

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

doi:10.1109/lcomm.2019.2921312

Cited by 16 publications

(5 citation statements)

References 9 publications

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“…This condition can be reached when the ToA and AoA estimation errors are restricted. The equations of Equation (19) are expressed in matrix form as follows:…”

Section: Antenna Deployment Of a Single Apmentioning

confidence: 99%

“…However, it requires labor-intensive fingerprint database construction and update work, especially in a large-scale and constantly changing target environment. Geometric measurement-based approach [17][18][19][20] measures the distance or the azimuth of the target device relative to an AP, relying on time of arrival (ToA) or angle of arrival (AoA) estimations, respectively. This approach always requires multiple APs and is vulnerable to a severe multipath propagation environment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Indoor Localization with a Single Access Point Based on TDoA and AoA

Deng

Wang

et al. 2022

Wireless Communications and Mobile Computing

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Indoor localization in 5G and the Internet of Things has been paid increasing attentions. Recent advances have demonstrated reasonable localization accuracy that can be provided by using a single access point (AP). Yet, existing single AP localization solutions require frequency hopping or suffer from degraded accuracy performance due to complicated indoor propagation environment. This paper proposes a new single AP indoor localization method based on time difference of arrival (TDoA) and angle of arrival (AoA). We divide multiple antennas into two groups, one group with close distance for AoA estimation and the other group with the farther distance for TDoA estimation. Then, a joint estimation of AoA and ToA is carried by a spatial smoothing-based multiple signal classification (MUSIC) algorithm. Finally, we propose a weighted least squares method based on TDoA and AoA estimations to achieve indoor localization. Simulation results verify the effectiveness of the proposed single AP localization method.

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“…This condition can be reached when the ToA and AoA estimation errors are restricted. The equations of Equation (19) are expressed in matrix form as follows:…”

Section: Antenna Deployment Of a Single Apmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Indoor Localization with a Single Access Point Based on TDoA and AoA

Deng

Wang

et al. 2022

Wireless Communications and Mobile Computing

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“…Phase-based AoA estimation assumes that the distance between a TX antenna and an RX antenna is infinity, and all RX antennas in the same array have the same the AoA. Most of the existing studies on AoA estimation [14], [15], [17]- [20], [77]- [80]…”

Section: B Aoa Estimationmentioning

confidence: 99%

Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices

et al. 2022

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Wireless local area network (WLAN)-based localization is key for advanced indoor Internetof-Things and embedded sensor applications. To further improve the accuracy of indoor localization, attention has been focused on WLAN-based indoor localization using channel-state information (CSI) in addition to the existing information provided by received signal strength (RSS). For easy and low cost installation of wireless sensing, wireless sensing based on standardized protocols and commercial WLAN devices, such as IEEE 802.11ac and IEEE 802.11ax, is necessary. Much previous research used the angle of arrival (AoA), but commercial WLAN devices cannot use directly for AoA estimation. Therefore, we propose a practical method for estimating the AoA to solve four problems: 1) compressed CSI, which cannot be used for AoA estimation directly, 2) the antenna wireline, in which the phase changes depending on the length of the wireline, 3) the antenna spacing, in which the distance between antennas places a restriction on AoA estimation, and 4) antenna individuality, in which the antennas used in actual MIMO communication have different characteristics. We implemented the proposed method on IEEE 802.11ac devices and evaluated it in a lecture room and shield tent. The results indicate that the proposed method can estimate AoA with an average error of 9.1 • and reduce the estimation error by 85.4 % compared with a straightforward approach.

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“…So far, by using the AoA (extracted from the CSI obtained by the antenna array) and the rToF (extracted from the CSI obtained by the antenna array and extended antenna), SR-PLoc realizes the passive moving target localization. Since the reflection paths are weaker than the direct signal traveling from the transmitter to the receiver, SR-PLoc employs the CSI-CR algorithm proposed in our previous work [33] to reduce the direct path induced interference to further improve the ToF estimation accuracy, during the parameter estimation process.…”

Section: Passive Moving Target Localizationmentioning

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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CSI Component Reconstruction-Based AoA Estimation for Subtle Human-Induced Reflection Under the TTW Scenario

Cited by 16 publications

References 9 publications

Indoor Localization with a Single Access Point Based on TDoA and AoA

Indoor Localization with a Single Access Point Based on TDoA and AoA

Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices

Passive Localization of Moving Target with Channel State Information

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