Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43466
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 
Keywords: Asynchronous delay-tap sampling
Automatic modulation classification
Automatic modulation format and bit-rate classification
SNR estimation
Issue Date: 2015
Publisher: Pergamon Press
Source: Computers and electrical engineering, 2015, v. 47, p. 126-133 How to cite?
Journal: Computers and electrical engineering 
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.
URI: http://hdl.handle.net/10397/43466
ISSN: 0045-7906
DOI: 10.1016/j.compeleceng.2015.09.005
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