Complex Autoencoder Approach to Constant Envelope Waveform Coding
Autor: | Nurgun Erdol, Hanqi Zhuang, Paul Gorday |
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Rok vydání: | 2021 |
Předmět: |
Computer science
020206 networking & telecommunications 02 engineering and technology Spectral efficiency Autoencoder symbols.namesake Encoding (memory) Biorthogonal system 0202 electrical engineering electronic engineering information engineering Euler's formula symbols Phase modulation Encoder Algorithm Decoding methods |
Zdroj: | CCNC |
DOI: | 10.1109/ccnc49032.2021.9369494 |
Popis: | This paper proposes a new complex autoencoder suitable for learning spectrally efficient, constant envelope waveform coding. In contrast to prior work, we model the encoder output layer as a phase modulation layer with a complex exponential activation function. In addition, we model the decoder with a complex-valued feature detection layer that may be coherent or noncoherent. The complex topology leads to noncoherent waveform coding methods not obtained in prior studies. The paper provides a mathematical framework for training the proposed autoencoder along with illustrative examples that demonstrate its ability to learn improved spectral efficiency relative to traditional orthogonal and biorthogonal modulations. |
Databáze: | OpenAIRE |
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