Patents by Inventor Samantha S. Palmer
Samantha S. Palmer has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11575407Abstract: Narrow brand IQ signals are obfuscated by embedding the signal in a buffered portion of wideband IQ frequency data. After the data has been received and buffered, the receiving transceiver, using a wideband IQ frequency data key, of a predetermined and shared format, decodes and reconstitute the narrowband IQ signal.Type: GrantFiled: April 15, 2021Date of Patent: February 7, 2023Assignee: PARSONS CORPORATIONInventors: Joseph Payton, Nicholas E. Ortyl, III, Samantha S. Palmer
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Patent number: 11569848Abstract: The disclosed invention includes methods for linking individual software-defined radios (SDR) into a cohesive network of SDRs capable of recording a sample of radiofrequency (RF) signals emitted in an RF environment. Individual SDRs communicate with an IP network, and host a linking application that executes the recording. A user identifies a lead SDR from among the SDRs, and uses the lead SDR to task participating SDRs with reference to a clock source. Also disclosed is a system of SDRs configured to be linked into a cohesive network of SDRs capable of recording a sample of RF signals emitted in an RF environment. Embodiments of the disclosed invention include co-located and dispersed SDRs. Some embodiments use SDRs organized into a mesh network. Embodiments of the disclosed invention are configured to perform total band monitoring, total band capture, RF environment simulation, interference identification, interference simulation, and distributed quality of service evaluation of wireless networks.Type: GrantFiled: April 15, 2021Date of Patent: January 31, 2023Assignee: PARSONS CORPORATIONInventors: Joseph Payton, Nicholas E. Ortyl, III, Stephen Hernandez, Samantha S. Palmer
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Patent number: 11303306Abstract: Capturing, extracting and storing narrowband IQ data for later processing enables timely and efficient analysis. As wideband capture of RF information includes noise and non-signal elements, the present invention detects, extracts and stores narrowband IQ signals for later assessment. By transforming a high-volume data stream to a collection of smaller narrowband signals with greatly reduced storage and on-board processing requirements the present invention facilitates the capability to analyze signals of interest in an otherwise denied environment.Type: GrantFiled: January 20, 2021Date of Patent: April 12, 2022Assignee: PARSONS CORPORATIONInventors: Nicholas E. Ortyl, III, Samantha S. Palmer, Joseph Payton
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Publication number: 20220077877Abstract: The disclosed invention includes methods for linking individual software-defined radios (SDR) into a cohesive network of SDRs capable of recording a sample of radiofrequency (RF) signals emitted in an RF environment. Individual SDRs communicate with an IP network, and host a linking application that executes the recording. A user identifies a lead SDR from among the SDRs, and uses the lead SDR to task participating SDRs with reference to a clock source. Also disclosed is a system of SDRs configured to be linked into a cohesive network of SDRs capable of recording a sample of RF signals emitted in an RF environment. Embodiments of the disclosed invention include co-located and dispersed SDRs. Some embodiments use SDRs organized into a mesh network. Embodiments of the disclosed invention are configured to perform total band monitoring, total band capture, RF environment simulation, interference identification, interference simulation, and distributed quality of service evaluation of wireless networks.Type: ApplicationFiled: April 15, 2021Publication date: March 10, 2022Applicant: Parsons CorporationInventors: Joseph Payton, Nicholas E. Ortyl, III, Stephen Hernandez, Samantha S. Palmer
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Publication number: 20210336651Abstract: Narrow brand IQ signals are obfuscated by embedding the signal in a buffered portion of wideband IQ frequency data. After the data has been received and buffered, the receiving transceiver, using a wideband IQ frequency data key, of a predetermined and shared format, decodes and reconstitute the narrowband IQ signal.Type: ApplicationFiled: April 15, 2021Publication date: October 28, 2021Applicant: Parsons CorporationInventors: Joseph Payton, Nicholas E. Ortyl, III, Samantha S. Palmer
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Publication number: 20210327308Abstract: The disclosed invention uses artificial intelligence (AI) algorithms for detecting and classifying radiofrequency (RF) transmissions to assemble a target signal library containing information about one or more target signals according to several criteria. A signal generator develops a mimic signal, designed to emulate a target signal based on information stored in the target signal library. In some embodiments, AI or machine learning (ML) algorithms further assist in refining the mimic signal to more effectively resemble the target signal. Such signal mimicry is done while maintaining small SWaP-C footprint for system component hardware.Type: ApplicationFiled: April 15, 2021Publication date: October 21, 2021Applicant: Parsons CorporationInventors: Joseph Payton, Nicholas E. Ortyl, III, Joseph Keefe, Samantha S. Palmer
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Publication number: 20210326725Abstract: The disclosed invention uses artificial intelligence (AI) algorithms for detecting and classifying radiofrequency transmissions to model and simulate an RF environment. AI or machine learning (ML) algorithms further assist in determining optimal modulation, bandwidth and center frequency placement of a transmit signal to either fully and efficiently exploit unused spectrum in the RF environment, or to camouflage the signal to evade detection, and therefore interception while providing enough fidelity to the receiver to remain detectable. Such signal shaping is done while maintaining small SWaP-C footprint for system component hardware.Type: ApplicationFiled: April 15, 2021Publication date: October 21, 2021Applicant: Parsons CorporationInventors: Joseph Payton, Samantha S. Palmer, William Wes Dickenson, Nicholas E. Ortyl, III
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Publication number: 20210329097Abstract: Dynamic and reconfigurable data paths for data stream processing and visualization is hereafter described by way of example. Data analytics on streaming data is conducted upon the identification of data processing needs or requirements. As these needs are recognized data paths are independently formed providing each data processing functionality with access to a common data source As requirements change, as new data processing functionalities are requested or existing functionalities are terminated, a connection manager modifies the existing data path architecture while maintaining data paths for ongoing data processing.Type: ApplicationFiled: April 15, 2021Publication date: October 21, 2021Applicant: Parsons CorporationInventors: Samantha S. Palmer, Joseph Payton
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Publication number: 20210226649Abstract: Capturing, extracting and storing narrowband IQ data for later processing enables timely and efficient analysis. As wideband capture of RF information includes noise and non-signal elements, the present invention detects, extracts and stores narrowband IQ signals for later assessment. By transforming a high-volume data stream to a collection of smaller narrowband signals with greatly reduced storage and on-board processing requirements the present invention facilitates the capability to analyze signals of interest in an otherwise denied environment.Type: ApplicationFiled: January 20, 2021Publication date: July 22, 2021Applicant: Parsons CorporationInventors: Nicholas E. Ortyl, III, Samantha S. Palmer, Joseph Payton
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Publication number: 20210056466Abstract: Detection and classification of patterns in high speed streaming data using algorithmic learning processes creates transferable models. Synchronized local data models are housed in a data model repository and upon receiving one or more data points from a continual source of data a determination is made whether the newly collected data falls within an existing data model. If so, the detection is reported. If not the data is stored in an unknown data detection list. Clusters of the data residing in the unknown data list are formed and from those clusters statistical features extracted. An n-dimensional convex hull is fashioned bounding a region within which the statistical features lie thereby establishing a new class of data. The new class of data is, or can be, thereafter transferred to other existing models such that the receiving model can update its data model repository without performing any data analysis.Type: ApplicationFiled: August 18, 2020Publication date: February 25, 2021Applicant: Parsons CorporationInventors: Nicholas E. Ortyl, III, Samantha S. Palmer, Joseph Payton, Kyle A. Roberts