Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, Ying-chun | - |
dc.contributor.author | Long, Qi | - |
dc.contributor.author | Wang, Chenxu | - |
dc.contributor.author | Zhou, Zhiquan | - |
dc.contributor.author | Jin, Tao | - |
dc.contributor.author | Oh, Daegun | - |
dc.date.accessioned | 2023-12-26T18:12:55Z | - |
dc.date.available | 2023-12-26T18:12:55Z | - |
dc.date.created | 2022-12-30 | - |
dc.date.issued | 2022-08-23 | - |
dc.identifier.isbn | 9781665472111 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/46818 | - |
dc.description.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. © 2022 IEEE. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Adaptive Subspace Classification Technique Using Fuzzy Support Vector Machine for Supspace-based TOA Estimation in a Multipath Channel | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.1109/ICEICT55736.2022.9909231 | - |
dc.identifier.scopusid | 2-s2.0-85141140051 | - |
dc.identifier.bibliographicCitation | 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022, pp.543 - 547 | - |
dc.identifier.url | http://www.iceict.org/ICEICT2022/UploadFiles_3250/202208/2022081711063916.pdf | - |
dc.citation.conferencePlace | CC | - |
dc.citation.conferencePlace | Hefei | - |
dc.citation.endPage | 547 | - |
dc.citation.startPage | 543 | - |
dc.citation.title | 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022 | - |
There are no files associated with this item.