Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel

Ying Chun Li; Qi Long; Chenxu Wang; Zhiquan Zhou; Tao Jin; Daegun Oh

doi:10.1109/ICEICT55736.2022.9909231

Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel

Ying Chun Li
, Qi Long
, Chenxu Wang
, Zhiquan Zhou
, Tao Jin
, Daegun Oh

Division of Intelligent Robot

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, an adaptive subspace classification technique using a fuzzy support vector machine (FSVM) is proposed for subspace-based TOA estimation in a multipath channel. For the subspace-based algorithm to work properly, the signal subspace should be correctly estimated from a data matrix composed of the received samples. Through SVD on the data matrix, singular values and vectors are derived in pairs. According to the derived singular values, the corresponding singular vectors are selected as a set of basis-spanning signal subspaces. Criteria such as the Akaike information criterion (AIC) and minimum description length criterion (MDLC) have previously been adopted for subspace classification. Instead of using these criteria, we propose an adaptive classification technique using a FSVM for improved subspace-based TOA estimation in a multipath channel.

Original language	English
Title of host publication	2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	543-547
Number of pages	5
ISBN (Electronic)	9781665472111
DOIs	https://doi.org/10.1109/ICEICT55736.2022.9909231
State	Published - 2022
Event	5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022 - Hefei, China Duration: 21 Aug 2022 → 23 Aug 2022

Publication series

Name	2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022

Conference

Conference	5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022
Country/Territory	China
City	Hefei
Period	21/08/22 → 23/08/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

FSVM
Multipath
TOA estimation

Access to Document

10.1109/ICEICT55736.2022.9909231

Cite this

Li, Y. C., Long, Q., Wang, C., Zhou, Z., Jin, T., & Oh, D. (2022). Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel. In 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022 (pp. 543-547). (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEICT55736.2022.9909231

Li, Ying Chun ; Long, Qi ; Wang, Chenxu et al. / Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel. 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 543-547 (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022).

@inproceedings{c00e4777f09f4ed8a7a3c1526f724e97,

title = "Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel",

abstract = "In this paper, an adaptive subspace classification technique using a fuzzy support vector machine (FSVM) is proposed for subspace-based TOA estimation in a multipath channel. For the subspace-based algorithm to work properly, the signal subspace should be correctly estimated from a data matrix composed of the received samples. Through SVD on the data matrix, singular values and vectors are derived in pairs. According to the derived singular values, the corresponding singular vectors are selected as a set of basis-spanning signal subspaces. Criteria such as the Akaike information criterion (AIC) and minimum description length criterion (MDLC) have previously been adopted for subspace classification. Instead of using these criteria, we propose an adaptive classification technique using a FSVM for improved subspace-based TOA estimation in a multipath channel.",

keywords = "FSVM, Multipath, TOA estimation",

author = "Li, \{Ying Chun\} and Qi Long and Chenxu Wang and Zhiquan Zhou and Tao Jin and Daegun Oh",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022 ; Conference date: 21-08-2022 Through 23-08-2022",

year = "2022",

doi = "10.1109/ICEICT55736.2022.9909231",

language = "English",

series = "2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022",

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Li, YC, Long, Q, Wang, C, Zhou, Z, Jin, T & Oh, D 2022, Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel. in 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022, Institute of Electrical and Electronics Engineers Inc., pp. 543-547, 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022, Hefei, China, 21/08/22. https://doi.org/10.1109/ICEICT55736.2022.9909231

Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel. / Li, Ying Chun; Long, Qi; Wang, Chenxu et al.
2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 543-547 (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel

AU - Li, Ying Chun

AU - Long, Qi

AU - Wang, Chenxu

AU - Zhou, Zhiquan

AU - Jin, Tao

AU - Oh, Daegun

PY - 2022

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N2 - In this paper, an adaptive subspace classification technique using a fuzzy support vector machine (FSVM) is proposed for subspace-based TOA estimation in a multipath channel. For the subspace-based algorithm to work properly, the signal subspace should be correctly estimated from a data matrix composed of the received samples. Through SVD on the data matrix, singular values and vectors are derived in pairs. According to the derived singular values, the corresponding singular vectors are selected as a set of basis-spanning signal subspaces. Criteria such as the Akaike information criterion (AIC) and minimum description length criterion (MDLC) have previously been adopted for subspace classification. Instead of using these criteria, we propose an adaptive classification technique using a FSVM for improved subspace-based TOA estimation in a multipath channel.

AB - In this paper, an adaptive subspace classification technique using a fuzzy support vector machine (FSVM) is proposed for subspace-based TOA estimation in a multipath channel. For the subspace-based algorithm to work properly, the signal subspace should be correctly estimated from a data matrix composed of the received samples. Through SVD on the data matrix, singular values and vectors are derived in pairs. According to the derived singular values, the corresponding singular vectors are selected as a set of basis-spanning signal subspaces. Criteria such as the Akaike information criterion (AIC) and minimum description length criterion (MDLC) have previously been adopted for subspace classification. Instead of using these criteria, we propose an adaptive classification technique using a FSVM for improved subspace-based TOA estimation in a multipath channel.

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Li YC, Long Q, Wang C, Zhou Z, Jin T, Oh D. Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel. In 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 543-547. (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022). doi: 10.1109/ICEICT55736.2022.9909231

Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel

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Keywords

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