Complex Autoencoder Approach to Constant Envelope Waveform Coding

Autor: Nurgun Erdol, Hanqi Zhuang, Paul Gorday
Rok vydání: 2021
Předmět:
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