Automatic modulation format/bit-rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling ?
A technique for joint modulation format and bit-rate classification is proposed. The proposed technique can simultaneously enable non-data-aided SNR estimation. The technique uses asynchronous delay-tap plots with artificial neural networks. The signal classification accuracy is 99.12% and mean SNR estimation error is 0.88dB. Due to its simplicity, it is attractive for future cognitive wireless networks.
asynchronous delay-tap sampling snr estimation automatic modulation classification automatic modulation format and bit-rate classification