Artificial neural network model training method, frequency uniform multi-beam generation method, and computer readable storage medium storing instructions to perform artificial neural network model training method and frequency uniform multi-beam generation method

A wideband frequency uniform multi-beam generation method performed by an electronic device, the method comprising:

• preparing digital intermediate frequency data based on a signal received from an antenna array of a multiple input multiple output (MIMO) system;
• and
• inputting the digital intermediate frequency data to a pre-trained artificial neural network model to generate wideband frequency uniform multiple beams as an output of the artificial neural network model,
• wherein a weight vector of the artificial neural network model is recursively trained using both a target beam pattern-based loss function and a target weight vector-based loss function to generate desired multiple beams.

A non-transitory computer readable storage medium storing instructions, when executed by one or more processors, configured to perform an artificial neural network model training method performed by an electronic device, the artificial neural network model training method comprising:

• preparing training data including digital intermediate frequency data based on a signal received from an antenna array of a multiple input multiple output (MIMO) system as input data, and including a target beam pattern and a target weight vector as output data;
• and
• training an artificial neural network model for wideband frequency uniform multi-beam generation using the generated training data,
• wherein a weight vector of the artificial neural network model is recursively trained using both a target beam pattern-based loss function and a target weight vector-based loss function to generate desired multiple beams.