Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96238
Title: | Automatic modulation format/bit-rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling | Authors: | Khan, FN Teow, CH Kiu, SG Tan, MC Zhou, Y Al-Arashi, WH Lau, APT Lu, C |
Issue Date: | Oct-2015 | Source: | Computers and electrical engineering, Oct. 2015, v. 47, p. 126-133 | 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. | Keywords: | Asynchronous delay-tap sampling Automatic modulation classification Automatic modulation format and bit-rate classification SNR estimation |
Publisher: | Pergamon Press | Journal: | Computers and electrical engineering | ISSN: | 0045-7906 | DOI: | 10.1016/j.compeleceng.2015.09.005 | Rights: | © 2015 Elsevier Ltd. All rights reserved. © 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/ 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. |
Appears in Collections: | Journal/Magazine Article |
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Automatic_Modulatiformat_Classificatisignal-to-noise.pdf | Pre-Published version | 1.49 MB | Adobe PDF | View/Open |
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