Passive Fingerprint Indoor Positioning Based on CSI Amplitude-phase

Xiaoping JIANG; Miaoyu WANG; Hao DING; Chenghua LI

doi:10.11999/JEIT180871

Volume 42 Issue 5

Jun. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(5): 1165-1171

Xiaoping JIANG, Miaoyu WANG, Hao DING, Chenghua LI. Passive Fingerprint Indoor Positioning Based on CSI Amplitude-phase[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1165-1171. doi: 10.11999/JEIT180871

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Xiaoping JIANG, Miaoyu WANG, Hao DING, Chenghua LI. Passive Fingerprint Indoor Positioning Based on CSI Amplitude-phase[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1165-1171. doi: 10.11999/JEIT180871

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Passive Fingerprint Indoor Positioning Based on CSI Amplitude-phase

doi: 10.11999/JEIT180871

Xiaoping JIANG^{1, 2},
Miaoyu WANG^{1
,
,},
Hao DING^{1, 2},
Chenghua LI^{1, 2}

1.
School of Electronic Engineering, South-central University for Nationalities, Wuhan 430074, China
2.
Hubei Province Key Laboratory of Intelligent Wireless Communication, Wuhan 430074, China

Funds: The Natural Science Foundation of China (61402544), Central South University for Nationalities of China Central University Special Project (CZQ14001), The Nature Science Foundation of Huibei Province (2017CFB874), The Fundamental Research Funds for the Central University (CYZ17001)

Received Date: 2018-09-06
Rev Recd Date: 2019-09-25

Available Online: 2020-01-11

Publish Date: 2020-06-04

Abstract

Abstract

Indoor positioning technology based on Channel State Information (CSI) receives much attention in recent years. The existing indoor positioning solution is continuously innovative and improved in terms of deployment implementation and positioning accuracy. This paper proposes a passive one-transmitter two-receivers fingerprint indoor positioning system. The CSI data is collected by two fixed receiving end-devices. In the signal preprocessing stage, the CSI amplitude is singular value removed and low pass filtered, and the CSI phase is corrected by a linear fitting method, and the CSI amplitude and phase information obtained by the two receiving ends are collectively used as fingerprint samples. The fingerprint samples are finally trained through the fully connected neural network, and matched with the collected real-time data. Experiments show that the matching recognition rate reaches 98% by using two receivers and the combination of amplitude and phase positioning, and the positioning accuracy is 0.69 m. It proves that the system can accurately and effectively achieve indoor positioning.
- Indoor location,
- Channel State Information (CSI),
- Amplitude-phase fingerprint,
- Neural networks

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References(15)

References

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