[1] Liu Jing, Liu Nan, Pan Zhiwen, You Xiaohu, et al. Domain adaptive methods for device diversityin indoor localization [J]. Journal of Southeast University (English Edition), 2019, 35 (4): 424-430. [doi:10.3969/j.issn.1003-7985.2019.04.004]

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Domain adaptive methods for device diversityin indoor localization()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

35

Issue:

2019 4

Page:

424-430

Research Field:

Information and Communication Engineering

Publishing date:

2019-12-30

Info

Title:

Domain adaptive methods for device diversityin indoor localization

Author(s):

Liu Jing;  Liu Nan;  Pan Zhiwen;  You Xiaohu

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Keywords:

wireless local area networks;  indoor localization;  fingerprinting;  device diversity;  transfer learning;  correlation alignment

PACS:

TN929.5

DOI:

10.3969/j.issn.1003-7985.2019.04.004

Abstract:

To solve the problem of variations in radio frequency characteristics among different devices, transfer learning is applied to transform device diversity to domain adaptation in the indoor localization algorithm. A robust indoor localization algorithm based on the aligned fingerprints and ensemble learning called correlation alignment for localization(CALoc)is proposed with low computational complexity. The second-order statistical properties of fingerprints in the offline and online phase are needed to be aligned. The real-time online calibration method mitigates the impact of device heterogeneity largely. Without any time-consuming deep learning retraining process, CALoc online only needs 0.11 s. The effectiveness and efficiency of CALoc are verified by realistic experiments. The results show that compared to the traditional algorithms, a significant performance gain is achieved and that it achieves better positioning accuracy with a 19% improvement.

References:

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Memo

Memo:

Biographies: Liu Jing(1994—), female, graduate; Liu Nan(corresponding author), female, doctor, professor, nanliu@seu.edu.cn.
Foundation items: The National Key Research and Development Program of China(No.2018YFB1802400), the National Natural Science Foundation of China(No.61571123), the Research Fund of National Mobile Communications Research Laboratory, Southeast University(No.2020A03).
Citation: Liu Jing, Liu Nan, Pan Zhiwen, et al.Domain adaptive methods for device diversity in indoor localization [J].Journal of Southeast University(English Edition), 2019, 35(4):424-430.DOI:10.3969/j.issn.1003-7985.2019.04.004.

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