A Novel Digital-Analog Integrated Communication System Based on the PARATUCK-2 Model

Tensor algebra is an important mathematical analysis tool in designing the deep learning frameworks. With the increasing of data processing in the communication field, many researchers have applied tensors into the designing of communication systems. So in this paper, we make use of the PARATUCK −2 tensor decomposition model to propose a novel digital-analog integrated communication system. The proposed system can simultaneously transmit digital and analog signals, in which, the analog signal is considered as a sampled signal without any other operation in this system. At the receiver, the original digital and analog signals can be separated and recovered by the proposed semi-blind receiver which is based on the ALS (alternate least square) algorithm. Finally, experimental results demonstrate the performances of the proposed digital-analog integrated communication system.

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