PULSE PARAMETER DETECTION FOR RADAR AND COMMUNICATIONS USING TRAINED NEURAL NETWORKS

    公开(公告)号:US20240036159A1

    公开(公告)日:2024-02-01

    申请号:US18223688

    申请日:2023-07-19

    CPC classification number: G01S7/2928

    Abstract: Techniques are described for a computing device to estimate pulse parameters. A method includes (a) receiving a digitized radio frequency (RF) signal as a digital input signal; (b) feeding the digital input signal into a plurality of input nodes of a trained Pulse Parameter Estimation Neural Network (PPENN), the PPENN having been trained using machine learning; (c) operating the trained PPENN to estimate a plurality of pulse parameters of a set of pulses embedded within a waveform of the digital input signal and to output the plurality of pulse parameters from the trained PPENN; and (d) processing the plurality of pulse parameters to further quantify the set of pulses. A system, apparatus, and computer program product for performing this method and similar methods are also described.

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