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公开(公告)号：US10484043B1
公开(公告)日：2019-11-19
申请号：US15452155
申请日：2017-03-07
Applicant: HRL Laboratories, LLC
Inventor： Charles E. Martin , Shankar R. Rao , Peter Petre
IPC: H04B1/719
Abstract: Described is a system for adaptive blind source separation. A time-series of data points from one or more mixtures of source signals is continuously passed through adaptable filters, where each filter has a corresponding output signal. An error of each output signal is determined, and a filter state of each filter is determined using the error signals. A set of filter center frequencies are adapted using the set of error signals and the filter states, resulting in new filter center frequencies. The set of filter center frequencies are updated with the new filter center frequencies. Finally, separated source signals are extracted from the mixture of signals.
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公开(公告)号：US10380062B1
公开(公告)日：2019-08-13
申请号：US16108041
申请日：2018-08-21
Applicant: HRL Laboratories, LLC
Inventor： Shankar R. Rao , Peter Petre
Abstract: Described is a system for signal denoising. The system linearly maps a noisy input signal into a high-dimensional reservoir, where the noisy input signal is a time-series of data points from a mixture of waveforms. A high-dimensional state-space representation of the mixture of waveforms is created by combining the noisy input signal with reservoir states. A delay embedded state signal is generated from the reservoir states, and a denoised spectrogram of the noisy input signal is generated.
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公开(公告)号：US10234377B1
公开(公告)日：2019-03-19
申请号：US15280575
申请日：2016-09-29
Applicant: HRL Laboratories, LLC
Inventor： Yuri Owechko , Shankar R. Rao
Abstract: Described is a system for remote analysis of spectral data. A set of measured spectral mixtures are separated using a blind demixing process, resulting in demixed outputs. A demixed output is selected for further processing, and a spectral library is selected from a set of spectral libraries that is specialized for the selected demixed output. Individual components in the selected demixed output are classified via a non-blind demixing process using the selected spectral library. Trace chemical residues are detected in the set of measured spectral mixtures.
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34.发明授权公开(公告)号：US10176407B1
公开(公告)日：2019-01-08
申请号：US15283358
申请日：2016-10-01
Applicant: HRL Laboratories, LLC
Inventor： Shankar R. Rao , Yuri Owechko
Abstract: Described is a system for library-based spectral demixing. The system simultaneously separates and identifies spectral elements in a set of noisy, cluttered spectral elements using Sparse Representation-based Classification (SRC) by modeling the set of noisy, cluttered spectral elements. The spectral library models each spectral element in the set of noisy, cluttered spectral elements, each spectral element having a corresponding wavenumber measurement. Wavenumber measurements are classified, resulting in salient wavenumber measurements. Target spectral elements representing a target of interest are identified in the set of noisy, cluttered spectral elements using the salient wavenumber measurements.
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公开(公告)号：US10128820B2
公开(公告)日：2018-11-13
申请号：US15817906
申请日：2017-11-20
Applicant: HRL Laboratories, LLC
Inventor： Peter Petre , Bryan H. Fong , Shankar R. Rao , Charles E. Martin
Abstract: Described is a cognitive signal processor for signal denoising and blind source separation. During operation, the cognitive signal processor receives a mixture signal that comprises a plurality of source signals. A denoised reservoir state signal is generated by mapping the mixture signal to a dynamic reservoir to perform signal denoising. At least one separated source signal is identified by adaptively filtering the denoised reservoir state signal.
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Patent Agency Ranking
公开(公告)号：US20210109210A1
公开(公告)日：2021-04-15
申请号：US16601554
申请日：2019-10-14
Applicant: The Boeing Company
Inventor： Adour V. Kabakian , Soheil Kolouri , Brian N. Limketkai , Shankar R. Rao
IPC: G01S13/90
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.
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公开(公告)号：US20210231795A1
公开(公告)日：2021-07-29
申请号：US16752575
申请日：2020-01-24
Applicant: The Boeing Company
Inventor： Soheil Kolouri , Shankar R. Rao
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.
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公开(公告)号：US20220222512A1
公开(公告)日：2022-07-14
申请号：US17565400
申请日：2021-12-29
Applicant: The Boeing Company
Inventor： Gabriel L. Virbila , Peter Petre , Shankar R. Rao
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.
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公开(公告)号：US11333753B2
公开(公告)日：2022-05-17
申请号：US16601554
申请日：2019-10-14
Applicant: The Boeing Company
Inventor： Adour V. Kabakian , Soheil Kolouri , Brian N. Limketkai , Shankar R. Rao
IPC: G01S13/90
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.
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公开(公告)号：US11255960B2
公开(公告)日：2022-02-22
申请号：US16752575
申请日：2020-01-24
Applicant: The Boeing Company
Inventor： Soheil Kolouri , Shankar R. Rao
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.
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