A Passive Localization Scheme Based on Channel State Information in an Indoor Environment

2017 ◽  
Author(s):  
Hongli Yu ◽  
Guilin Chen ◽  
Shenghui Zhao ◽  
Chih-Yung Chang
Keyword(s):  
Channel State Information ◽  
Indoor Environment ◽  
Channel State ◽  
State Information ◽  
Localization Scheme ◽  
Passive Localization

scholarly journals An Indoor Localization System Using Residual Learning with Channel State Information

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 574
Author(s):  
Chendong Xu ◽  
Weigang Wang ◽  
Yunwei Zhang ◽  
Jie Qin ◽  
Shujuan Yu ◽  
...  
Keyword(s):  
Channel State Information ◽  
Indoor Environment ◽  
Indoor Localization ◽  
Location Based Services ◽  
Channel State ◽  
State Information ◽  
Localization Accuracy ◽  
Localization System ◽  
Increasing Demand ◽  
Degradation Problem

With the increasing demand of location-based services, neural network (NN)-based intelligent indoor localization has attracted great interest due to its high localization accuracy. However, deep NNs are usually affected by degradation and gradient vanishing. To fill this gap, we propose a novel indoor localization system, including denoising NN and residual network (ResNet), to predict the location of moving object by the channel state information (CSI). In the ResNet, to prevent overfitting, we replace all the residual blocks by the stochastic residual blocks. Specially, we explore the long-range stochastic shortcut connection (LRSSC) to solve the degradation problem and gradient vanishing. To obtain a large receptive field without losing information, we leverage the dilated convolution at the rear of the ResNet. Experimental results are presented to confirm that our system outperforms state-of-the-art methods in a representative indoor environment.

scholarly journals Passive Localization of Moving Target with Channel State Information

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiaolong Yang ◽  
Jiacheng Wang ◽  
Wei Nie ◽  
Yong Wang
Keyword(s):  
Antenna Array ◽  
Channel State Information ◽  
Real World ◽  
Access Point ◽  
Smart Devices ◽  
Moving Target ◽  
Channel State ◽  
State Information ◽  
Signal Parameters ◽  
Passive Localization

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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