Patents by Inventor Benjamin Harpe

Benjamin Harpe 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).

  • Publication number: 20260121770
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Application
    Filed: July 1, 2025
    Publication date: April 30, 2026
    Applicant: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl
  • Publication number: 20260101211
    Abstract: Aspects of the present disclosure provide improved techniques for detecting the presence of RF anomalies and providing for enhanced user control of RF anomaly detection and related actions. Some aspects relate to detecting an RF anomaly by determining, based on a multidimensional encoding of characteristics of an RF signal, that the RF signal is anomalous compared to a baseline of multidimensional encodings of characteristics of RF radiation received in the operating environment. Some aspects relate to controlling RF anomaly detection by initiating an action in response to selection of an option displayed to a user in a graphical user interface in along with an indication of an RF signal determined to be anomalous compared to a baseline. Some aspects relate to identifying a subset of RF data and determining a presence of an RF anomaly corresponding to the subset by comparing a representation of RF radiation to a baseline.
    Type: Application
    Filed: October 2, 2025
    Publication date: April 9, 2026
    Applicant: Distributed Spectrum Inc.
    Inventors: Isaac Struhl, Alexander Wulff, Benjamin Harpe, Kalman Chapman, Samuel Wolfson, Eric Fernandez
  • Patent number: 12381639
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Grant
    Filed: January 18, 2024
    Date of Patent: August 5, 2025
    Assignee: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl
  • Patent number: 12278667
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Grant
    Filed: July 22, 2022
    Date of Patent: April 15, 2025
    Assignee: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl
  • Patent number: 12143159
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Grant
    Filed: July 22, 2022
    Date of Patent: November 12, 2024
    Assignee: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl
  • Publication number: 20240348348
    Abstract: Described herein are RF systems and techniques for detecting the presence of and/or characterizing RF signals among RF radiation received by the system. In some embodiments, RF signal characterization may be achieved with high accuracy and low sensitivity while using low cost, scalable electronics that are versatile for deployment in a variety of environments, whether centralized, distributed, and/or vehicle-based. In some embodiments, underlying such systems and techniques are trained models that may be executed by a processor and configured to detect the presence of and/or characterize received RF signals. In some embodiments, received RF signals may be encoded into compact data structure representations that may be transmitted over low bandwidth links and/or processed using fewer computing resources than processing the underlying RF radiation data itself, facilitating deployment of distributed RF sensing systems.
    Type: Application
    Filed: April 16, 2024
    Publication date: October 17, 2024
    Inventors: Benjamin Harpe, Alexander Wulff, Isaac Struhl, Samuel Wolfson, Kalman Chapman, Eric Fernandez
  • Publication number: 20240348354
    Abstract: Described herein are RF systems and techniques for detecting the presence of and/or characterizing RF signals among RF radiation received by the system. In some embodiments, RF signal characterization may be achieved with high accuracy and low sensitivity while using low cost, scalable electronics that are versatile for deployment in a variety of environments, whether centralized, distributed, and/or vehicle-based. In some embodiments, underlying such systems and techniques are trained models that may be executed by a processor and configured to detect the presence of and/or characterize received RF signals. In some embodiments, received RF signals may be encoded into compact data structure representations that may be transmitted over low bandwidth links and/or processed using fewer computing resources than processing the underlying RF radiation data itself, facilitating deployment of distributed RF sensing systems.
    Type: Application
    Filed: April 16, 2024
    Publication date: October 17, 2024
    Inventors: Benjamin Harpe, Alexander Wulff, Isaac Struhl, Samuel Wolfson, Kalman Chapman, Eric Fernandez
  • Publication number: 20240348353
    Abstract: Described herein are RF systems and techniques for detecting the presence of and/or characterizing RF signals among RF radiation received by the system. In some embodiments, RF signal characterization may be achieved with high accuracy and low sensitivity while using low cost, scalable electronics that are versatile for deployment in a variety of environments, whether centralized, distributed, and/or vehicle-based. In some embodiments, underlying such systems and techniques are trained models that may be executed by a processor and configured to detect the presence of and/or characterize received RF signals. In some embodiments, received RF signals may be encoded into compact data structure representations that may be transmitted over low bandwidth links and/or processed using fewer computing resources than processing the underlying RF radiation data itself, facilitating deployment of distributed RF sensing systems.
    Type: Application
    Filed: April 16, 2024
    Publication date: October 17, 2024
    Inventors: Benjamin Harpe, Alexander Wulff, Isaac Struhl, Samuel Wolfson, Kalman Chapman, Eric Fernandez
  • Publication number: 20240348355
    Abstract: Described herein are RF systems and techniques for detecting the presence of and/or characterizing RF signals among RF radiation received by the system. In some embodiments, RF signal characterization may be achieved with high accuracy and low sensitivity while using low cost, scalable electronics that are versatile for deployment in a variety of environments, whether centralized, distributed, and/or vehicle-based. In some embodiments, underlying such systems and techniques are trained models that may be executed by a processor and configured to detect the presence of and/or characterize received RF signals. In some embodiments, received RF signals may be encoded into compact data structure representations that may be transmitted over low bandwidth links and/or processed using fewer computing resources than processing the underlying RF radiation data itself, facilitating deployment of distributed RF sensing systems.
    Type: Application
    Filed: April 16, 2024
    Publication date: October 17, 2024
    Inventors: Benjamin Harpe, Alexander Wulff, Isaac Struhl, Samuel Wolfson, Kalman Chapman, Eric Fernandez
  • Publication number: 20240333403
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Application
    Filed: January 18, 2024
    Publication date: October 3, 2024
    Applicant: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl
  • Patent number: 11916605
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Grant
    Filed: July 22, 2022
    Date of Patent: February 27, 2024
    Assignee: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl
  • Publication number: 20230027893
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Application
    Filed: July 22, 2022
    Publication date: January 26, 2023
    Applicant: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl
  • Publication number: 20230027182
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Application
    Filed: July 22, 2022
    Publication date: January 26, 2023
    Applicant: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl
  • Publication number: 20230021777
    Abstract: The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.
    Type: Application
    Filed: July 22, 2022
    Publication date: January 26, 2023
    Applicant: Distributed Spectrum Inc.
    Inventors: Alexander Wulff, Benjamin Harpe, Isaac Struhl