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.

    SYSTEMS AND METHODS FOR PULSE DESCRIPTOR WORD GENERATION USING BLIND SOURCE SEPARATION

    公开(公告)号:US20180074171A1

    公开(公告)日:2018-03-15

    申请号:US15262987

    申请日:2016-09-12

    CPC classification number: G01S7/2923 G01R23/155 G01S7/006 G01S7/021 G01S13/66

    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.

    STRIPMAP SYNTHETIC APERTURE RADAR (SAR) SYSTEM UTILIZING DIRECT MATCHING AND REGISTRATION IN RANGE PROFILE SPACE

    公开(公告)号:US20210109210A1

    公开(公告)日:2021-04-15

    申请号:US16601554

    申请日:2019-10-14

    Abstract: Described is a stripmap SAR system on a vehicle comprising an antenna that is fixed and directed outward from the side of the vehicle, a SAR sensor, a storage, and a computing device. The computing device comprises a memory, one or more processing units, and a machine-readable medium on the memory. The machine-readable medium stores instructions that, when executed by the one or more processing units, cause the stripmap SAR system to perform various operations. The operations comprise: receiving stripmap range profile data associated with observed views of a scene; transforming the received stripmap range profile data into partial circular range profile data; comparing the partial circular range profile data to a template range profile data of the scene; and estimating registration parameters associated with the partial circular range profile data relative to the template range profile data to determine a deviation from the template range profile data.

    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.

    SYNTHETIC APERTURE RADAR (SAR) BASED CONVOLUTIONAL NAVIGATION

    公开(公告)号:US20210231795A1

    公开(公告)日:2021-07-29

    申请号:US16752575

    申请日:2020-01-24

    Abstract: A synthetic aperture radar (SAR) system is disclosed. The SAR comprises a memory, a convolutional neural network (CNN), a machine-readable medium on the memory, and a machine-readable medium on the memory. The machine-readable medium storing instructions that, when executed by the CNN, cause the SAR system to perform operations. The operation comprises: receiving range profile data associated with observed views of a scene; concatenating the range profile data with a template range profile data of the scene; and estimating registration parameters associated with the range profile data relative to the template range profile data to determine a deviation from the template range profile data.

    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.

    SYSTEMS AND METHODS FOR COGNITIVE SIGNAL PROCESSING

    公开(公告)号:US20220222512A1

    公开(公告)日:2022-07-14

    申请号:US17565400

    申请日:2021-12-29

    Abstract: Implementations provide denoising a signal. A plurality of reservoir state values are produced based on the signal and the plurality of reservoir state values are collected into a historical record. A plurality of reservoir state value weights are calculated based at least in part on the historical record to produce a plurality of output values. The plurality of reservoir state value weights are computed over multiple clock cycles of a clock for the cognitive signal processor system. The plurality of output values are output. A more accurate representation of a next of set of output layer weights is thereby obtained.

    Stripmap synthetic aperture radar (SAR) system utilizing direct matching and registration in range profile space

    公开(公告)号:US11333753B2

    公开(公告)日:2022-05-17

    申请号:US16601554

    申请日:2019-10-14

    Abstract: Described is a stripmap SAR system on a vehicle comprising an antenna that is fixed and directed outward from the side of the vehicle, a SAR sensor, a storage, and a computing device. The computing device comprises a memory, one or more processing units, and a machine-readable medium on the memory. The machine-readable medium stores instructions that, when executed by the one or more processing units, cause the stripmap SAR system to perform various operations. The operations comprise: receiving stripmap range profile data associated with observed views of a scene; transforming the received stripmap range profile data into partial circular range profile data; comparing the partial circular range profile data to a template range profile data of the scene; and estimating registration parameters associated with the partial circular range profile data relative to the template range profile data to determine a deviation from the template range profile data.

    Synthetic aperture radar (SAR) based convolutional navigation

    公开(公告)号:US11255960B2

    公开(公告)日:2022-02-22

    申请号:US16752575

    申请日:2020-01-24

    Abstract: A synthetic aperture radar (SAR) system is disclosed. The SAR comprises a memory, a convolutional neural network (CNN), a machine-readable medium on the memory, and a machine-readable medium on the memory. The machine-readable medium storing instructions that, when executed by the CNN, cause the SAR system to perform operations. The operation comprises: receiving range profile data associated with observed views of a scene; concatenating the range profile data with a template range profile data of the scene; and estimating registration parameters associated with the range profile data relative to the template range profile data to determine a deviation from the template range profile data.

    Transport-based synthetic aperture radar navigation systems and methods

    公开(公告)号:US11169258B2

    公开(公告)日:2021-11-09

    申请号:US16407460

    申请日:2019-05-09

    Abstract: Systems and methods according to one or more embodiments are provided for registration of synthetic aperture range profile data to aid in SAR-based navigation. In one example, a SAR-based navigation system includes a memory comprising a plurality of executable instructions. The SAR-based navigation system further includes a processor adapted to receive range profile data associated with observed views of a scene, compare the range profile data to a template range profile data of the scene, and estimate registration parameters associated with the range profile data relative to the template range profile data to determine a deviation from the template range profile data.

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