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TOA Estimation of Indoor Localization by Wi-Fi Signal Based on Waveform Edge Detection
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[1]MA Dongju,LI Min,ZHANG Duanjin.TOA Estimation of Indoor Localization by Wi-Fi Signal Based on Waveform Edge Detection[J].Journal of Zhengzhou University (Engineering Science),2022,43(03):15-20.[doi:10.13705/j.issn.1671-6833.2022.03.014]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 43卷 Number of periods: 2022 03 Page number: 15-20 Column: Public date: 2022-04-10
Title:
TOA Estimation of Indoor Localization by Wi-Fi Signal Based on Waveform Edge Detection
Author(s):
MA Dongju1;  LI Min2;  ZHANG Duanjin1
1.School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China;
2.Institute of China Electronic Equipment System Engineering Corporation, Beijing 100141, China
Keywords:
TOA;  indoor localization;  waveform edge detection;  Wi-Fi;  CSI;  phase information
CLC:
TN929. 5
DOI:
10.13705/j.issn.1671-6833.2022.03.014
Abstract:
To locate the target indoor precisely, it was important to investigate on the Wi-Fi based indoor localization parameter, namely, time of arrival(TOA).The main weakness of primary TOA estimation methods were estimation bias, complex algorithm，and lack of universality.The new method had a clear physical meaning, and could pave a new way for the TOA estimation.According to the weakness of these traditional methods, a new TOA estimation algorithm was proposed in this paper.Based on sampling of waveform, the space-frequency-time searching algorithm, this algorithm calculated the phase difference between adjacent CSI calculation time span, and judged whether the CSI calculation time span could reach the edge of waveform, as to get the result of TOA estimation.Numerical results showed that the new method could achieve more than 58% submeter-level precision when the signal-to-noise ratio was above 25 dB.Moreover, the performance of the method upgraded as the bandwidth of the Wi-Fi signal expanded.The new method could overcome the weakness of traditional method, and pave a new way for the TOA estimation.
References:
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