Signal Processing-Based Deep Learning for Blind Symbol Decoding and Modulation Classification

Blindly decoding a signal requires estimating its unknown transmit parameters, compensating for the wireless channel impairments, and identifying the modulation type. While deep learning can solve complex problems, digital signal processing (DSP) is interpretable and can be more computationally effi...

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Veröffentlicht in:	IEEE journal on selected areas in communications 2022-01, Vol.40 (1), p.82-96
Hauptverfasser:	Hanna, Samer, Dick, Chris, Cabric, Danijela
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms automatic modulation classification Blind symbol decoding Classification Decoding Deep learning Digital signal processing Estimation Feature extraction Frequency modulation Machine learning Modulation Neural networks Parameter identification Process variables Receivers Signal processing Software radio
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