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.
Original language | English |
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Pages (from-to) | 126-133 |
Number of pages | 8 |
Journal | Computers and Electrical Engineering |
Volume | 47 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Keywords
- Asynchronous delay-tap sampling
- Automatic modulation classification
- Automatic modulation format and bit-rate classification
- SNR estimation
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science
- Electrical and Electronic Engineering