Commissariat a L'energie Atomique Et Aux Energies Alternatives

Alexis Falempin

Jean-Baptiste Dore

Simon Bicais

Rafik Zayani

Jean-Baptiste Doré

The invention relates to a device for linearising a power amplifier by employing digital predistortion, comprising: a digital predistortion module, configured to infer a polar domain predistortion to be applied to a signal, and comprising a first neural network and a second neural network respectively configured to correct amplitude and phase distortion produced by the amplifier; an optimisation module of each of said neural networks configured to implement meta-learning, using: a meta-initialisation providing a prior initialisation of the initial weights of each of said neural networks; a meta-matching of the initial weights into optimal weights of each of said neural networks.

Device for linearising a power amplifier of a communication system by digital predistortion

A method for receiving a plurality of separate signals transmitted respectively by a plurality of transmit antennas, includes the steps of: receiving a plurality of respective signals on a plurality of receive antennas, applying energy detection to each of the received signals, jointly demodulating the received signals by way of a machine-learning algorithm trained beforehand so as to learn to demodulate each modulated symbol of the transmitted signal based on the respective contributions of this modulated symbol that are received on the plurality of receive antennas.

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Grenoble, France

Alexis Falempin