FMCW RADAR WITH INTERFERENCE SIGNAL SUPPRESSION USING ARTIFICIAL NEURAL NETWORK

    公开(公告)号:US20210209453A1

    公开(公告)日:2021-07-08

    申请号:US17121295

    申请日:2020-12-14

    Abstract: A radar device may include a radar transmitter to output a radio frequency (RF) transmission signal including a plurality of frequency-modulated chirps. The radar device may include a radar receiver to receive an RF radar signal, and generate, based on the RF radar signal, a dataset including a set of digital values, the dataset being associated with a chirp or a sequence of successive chirps. The radar device may include a neural network to filter the dataset to reduce an interfering signal included in the dataset, the neural network being a convolutional neural network. At least one layer of the neural network may be a complex-valued neural network layer includes complex-valued weighting factor, where the complex-valued neural network layer is configured to perform one or more operations according to a complex-valued computation.

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