VERY LOW FREQUENCY SIGNALS FOR UNDERWATER COMMUNICATIONS

    公开(公告)号:US20230308192A1

    公开(公告)日:2023-09-28

    申请号:US17653800

    申请日:2022-03-07

    CPC classification number: H04B13/02 H04B1/0475 H04B1/10

    Abstract: A method, apparatus, system, and computer program product for processing low frequency signals. A communications system comprising a low frequency receiver, a denoiser, and a signal extractor. The low frequency receiver receives low frequency signals in which a communications signal is expected. The denoiser is in communication with the low frequency receiver. The denoiser denoises the low frequency signals received from the low frequency receiver. The denoising results in a generation of denoised signals. The signal extractor in communication with the denoiser. The signal extractor extracts the communications signal from the denoised signal.

    Very low frequency signals for underwater communications

    公开(公告)号:US12101130B2

    公开(公告)日:2024-09-24

    申请号:US17653800

    申请日:2022-03-07

    CPC classification number: H04B13/02 H04B1/0475 H04B1/10

    Abstract: A method, apparatus, system, and computer program product for processing low frequency signals. A communications system comprising a low frequency receiver, a denoiser, and a signal extractor. The low frequency receiver receives low frequency signals in which a communications signal is expected. The denoiser is in communication with the low frequency receiver. The denoiser denoises the low frequency signals received from the low frequency receiver. The denoising results in a generation of denoised signals. The signal extractor in communication with the denoiser. The signal extractor extracts the communications signal from the denoised signal.

    SIGNAL REMOVAL TO EXAMINE A SPECTRUM OF ANOTHER SIGNAL

    公开(公告)号:US20180089558A1

    公开(公告)日:2018-03-29

    申请号:US15276188

    申请日:2016-09-26

    Abstract: A method for removing an extracted RF signal to examine a spectrum of at least one other RF signal includes receiving a mixture signal by an ADC. The mixture signal includes a plurality of separate signals from different signal sources. The mixture signal is digitized by the ADC. A first digitized signal and a second digitized signal are generated that are the same. The first digitized signal is delayed a predetermined time delay and the second digitized signal is processed in a neuromorphic signal processor to extract an extracted signal. The predetermined time delay corresponds to a delay embedding in the neuromorphic signal processor. A phase delay and amplitude of the extracted signal is adjusted based on a phase delay and amplitude of the first digitized signal. An adjusted extracted signal is cancelled from the first digitized signal to provide an input examination signal for examination.

    Systems and methods for pulse descriptor word generation using blind source separation

    公开(公告)号:US10429491B2

    公开(公告)日:2019-10-01

    申请号:US15262987

    申请日:2016-09-12

    Abstract: A method for generating pulse descriptor words (PDWs) including frequency and/or bandwidth data from time-varying signals received by a sensor includes filtering, at a plurality of blind source separation (BSS) modules, signals derived from the time-varying signals, each BSS module including a filtering subsystem having a plurality of filter modules. Each filter module has a frequency filter coefficient (α) and is parameterized by a center frequency (f). The method also includes transmitting at least one blind source separated signal from the BSS modules to a PDW generation module communicatively coupled to the filtering subsystem. The method further includes generating, using the PDW generation module and based on the blind source separated signal, at least one PDW parameter vector signal containing the frequency data. The method also includes updating, upon generating and based on the PDW parameter vector signal, values of α and/or f for each filter module.

    Signal removal to examine a spectrum of another signal

    公开(公告)号:US10783430B2

    公开(公告)日:2020-09-22

    申请号:US15276188

    申请日:2016-09-26

    Abstract: A method for removing an extracted RF signal to examine a spectrum of at least one other RF signal includes receiving a mixture signal by an ADC. The mixture signal includes a plurality of separate signals from different signal sources. The mixture signal is digitized by the ADC. A first digitized signal and a second digitized signal are generated that are the same. The first digitized signal is delayed a predetermined time delay and the second digitized signal is processed in a neuromorphic signal processor to extract an extracted signal. The predetermined time delay corresponds to a delay embedding in the neuromorphic signal processor. A phase delay and amplitude of the extracted signal is adjusted based on a phase delay and amplitude of the first digitized signal. An adjusted extracted signal is cancelled from the first digitized signal to provide an input examination signal for examination.

    Cognitive signal processor
    8.
    发明授权

    公开(公告)号:US11037057B1

    公开(公告)日:2021-06-15

    申请号:US15910821

    申请日:2018-03-02

    Abstract: Described is a cognitive signal processor that is implemented in a field programmable gate array (FPGA). During operation, the FGPA receives a continuous noisy signal. The continuous noisy signal is a time-series of data points from a mixture signal of waveforms having both noise and a desired waveform signal. The continuous noisy signal is linearly mapped to reservoir states of a dynamical reservoir. A high-dimensional state-space representation of the continuous noisy signal is generated by digitally combining the continuous noisy signal with the reservoir states. Notably, the continuous noisy signal is approximated over a time interval based on a linear basis function. One or more delay-embedded state signals are then generated based on the reservoir states. The continuous noisy signal is then denoised by removing the noise from the desired waveform signal, resulting in a denoised waveform signal.

    System for parallelized cognitive signal denoising

    公开(公告)号:US10404299B1

    公开(公告)日:2019-09-03

    申请号:US15910922

    申请日:2018-03-02

    Abstract: Described is a cognitive signal processor (CSP) for signal denoising. In operation, the CSP receives a noisy signal as a time-series of data points from a mixture of both noise and one or more desired waveform signals. The noisy signal is linearly mapped to reservoir states of a dynamical reservoir. A high-dimensional state-space representation is then generated of the noisy signal by combining the noisy signal with the reservoir states. A delay-embedded state signal is generated from the reservoir states. The reservoir states are denoised by removing noise from each reservoir state signal, resulting in a real-time denoised spectrogram of the noisy signal. A denoised waveform signal is generated combining the denoised reservoir states. Additionally, the signal denoising process is implemented in software or digital hardware by converting the state-space representation of the dynamical reservoir to a system of delay difference equations and then applying a linear basis approximation.

    Neuromorphic processor for wideband signal analysis

    公开(公告)号:US10162378B1

    公开(公告)日:2018-12-25

    申请号:US15631307

    申请日:2017-06-23

    Abstract: Described is a neuromorphic processor for signal denoising and separation. The neuromorphic processor generates delay-embedded mixture signals from an input mixture of pulses. Using a reservoir computer, the delay-embedded mixture signals are mapped to reservoir states of a dynamical reservoir having output layer weights. The output layer weights are adapted based on short-time linear prediction, and a denoised output of the mixture of input signals us generated. The denoised output is filtered through a set of adaptable finite impulse response (FIR) filters to extract a set of separated narrowband pulses.

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