Joint modulation format/bit-rate classification and signal-to-noise ratio estimation in multipath fading channels using deep machine learning

@inproceedings{Khan2016JointMF,
  title={Joint modulation format/bit-rate classification and signal-to-noise ratio estimation in multipath fading channels using deep machine learning},
  author={Faisal Nadeem Khan and Chao Lu and A. P. T. Lau},
  year={2016}
}
A novel algorithm for simultaneous modulation format/bit-rate classification and non-data-aided (NDA) signal-to-noise ratio (SNR) estimation in multipath fading channels by applying deep machine learning-based pattern recognition on signals’ asynchronous delay-tap plots (ADTPs) is proposed. The results for three widely-used modulation formats at two different bit-rates demonstrate classification accuracy of 99.8%. In addition, NDA SNR estimation over a wide range of 0−30 dB is shown with mean… CONTINUE READING

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