Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96238
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.contributor | Department of Electronic and Information Engineering | en_US |
dc.creator | Khan, FN | en_US |
dc.creator | Teow, CH | en_US |
dc.creator | Kiu, SG | en_US |
dc.creator | Tan, MC | en_US |
dc.creator | Zhou, Y | en_US |
dc.creator | Al-Arashi, WH | en_US |
dc.creator | Lau, APT | en_US |
dc.creator | Lu, C | en_US |
dc.date.accessioned | 2022-11-14T04:07:04Z | - |
dc.date.available | 2022-11-14T04:07:04Z | - |
dc.identifier.issn | 0045-7906 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/96238 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2015 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Khan, F. N., Teow, C. H., Kiu, S. G., Tan, M. C., Zhou, Y., Al-Arashi, W. H., ... & Lu, C. (2015). Automatic modulation format/bit-rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling. Computers & Electrical Engineering, 47, 126-133. is available at https://doi.org/10.1016/j.compeleceng.2015.09.005. | en_US |
dc.subject | Asynchronous delay-tap sampling | en_US |
dc.subject | Automatic modulation classification | en_US |
dc.subject | Automatic modulation format and bit-rate classification | en_US |
dc.subject | SNR estimation | en_US |
dc.title | Automatic modulation format/bit-rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Title on authors' file: Automatic Modulation Format/Bit-Rate Classification and Non-Data-Aided SNR Estimation in Wireless Networks Using Asynchronous Delay-Tap Sampling | en_US |
dc.identifier.spage | 126 | en_US |
dc.identifier.epage | 133 | en_US |
dc.identifier.volume | 47 | en_US |
dc.identifier.doi | 10.1016/j.compeleceng.2015.09.005 | en_US |
dcterms.abstract | We propose a novel technique for automatic classification of modulation formats/bit-rates of digitally modulated signals as well as non-data-aided (NDA) estimation of signal-to-noise ratio (SNR) in wireless networks. The proposed technique exploits modulation format, bit-rate, and SNR sensitive features of asynchronous delay-tap plots (ADTPs) for the joint estimation of these parameters. Simulation results validate successful classification of three commonly-used modulation formats at two different bit-rates with an overall accuracy of 99.12%. Similarly, in-service estimation of SNR in the range of 0-30 dB is demonstrated with mean estimation error of 0.88 dB. The proposed technique requires low-speed asynchronous sampling of signal envelope and hence, it can enable simple and cost-effective joint modulation format/bit-rate classification and NDA SNR estimation in future wireless networks. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Computers and electrical engineering, Oct. 2015, v. 47, p. 126-133 | en_US |
dcterms.isPartOf | Computers and electrical engineering | en_US |
dcterms.issued | 2015-10 | - |
dc.identifier.scopus | 2-s2.0-84955313246 | - |
dc.description.validate | 202211 bcww | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | RGC-B3-0872 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Science Foundation China; The Universiti Sains Malaysia | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Automatic_Modulatiformat_Classificatisignal-to-noise.pdf | Pre-Published version | 1.49 MB | Adobe PDF | View/Open |
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