Abstract

Described herein arc 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.

IPC Classes  ?

• H04B 1/00 - Details of transmission systems, not covered by a single one of groups Details of transmission systems not characterised by the medium used for transmission
• H04W 24/00 - Supervisory, monitoring or testing arrangements
• G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
• H04B 17/30 - MonitoringTesting of propagation channels
• G06N 20/00 - Machine learning
• G06N 3/02 - Neural networks
• G01R 29/08 - Measuring electromagnetic field characteristics

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.

IPC Classes  ?

• H04B 17/309 - Measuring or estimating channel quality parameters

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.

IPC Classes  ?

• H04B 17/391 - Modelling the propagation channel

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.

IPC Classes  ?

• H04B 17/391 - Modelling the propagation channel
• H04W 24/10 - Scheduling measurement reports

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.

IPC Classes  ?

• H04B 17/391 - Modelling the propagation channel
• H04B 17/336 - Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]

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.

IPC Classes  ?

• H04B 17/10 - MonitoringTesting of transmitters
• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
• H04B 1/00 - Details of transmission systems, not covered by a single one of groups Details of transmission systems not characterised by the medium used for transmission
• H04B 7/15 - Active relay systems
• H04B 17/13 - MonitoringTesting of transmitters for calibration of power amplifiers, e.g. of gain or non-linearity
• H04B 17/18 - Monitoring during normal operation
• H04B 17/27 - MonitoringTesting of receivers for locating or positioning the transmitter
• H04B 17/391 - Modelling the propagation channel
• H04L 27/00 - Modulated-carrier systems
• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information

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.

IPC Classes  ?

• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
• H04B 17/10 - MonitoringTesting of transmitters
• H04B 17/391 - Modelling the propagation channel
• H04B 17/13 - MonitoringTesting of transmitters for calibration of power amplifiers, e.g. of gain or non-linearity
• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• H04B 7/15 - Active relay systems
• H04B 17/18 - Monitoring during normal operation
• H04B 1/00 - Details of transmission systems, not covered by a single one of groups Details of transmission systems not characterised by the medium used for transmission
• H04B 17/27 - MonitoringTesting of receivers for locating or positioning the transmitter
• G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
• H04L 27/00 - Modulated-carrier systems

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.

IPC Classes  ?

• H04B 7/15 - Active relay systems
• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• H04B 17/10 - MonitoringTesting of transmitters
• H04B 17/13 - MonitoringTesting of transmitters for calibration of power amplifiers, e.g. of gain or non-linearity
• H04B 17/18 - Monitoring during normal operation
• H04B 17/391 - Modelling the propagation channel
• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
• G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
• H04B 1/00 - Details of transmission systems, not covered by a single one of groups Details of transmission systems not characterised by the medium used for transmission
• H04B 17/27 - MonitoringTesting of receivers for locating or positioning the transmitter
• H04L 27/00 - Modulated-carrier systems

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.

IPC Classes  ?

• H04B 17/391 - Modelling the propagation channel
• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• H04B 7/15 - Active relay systems
• H04B 17/10 - MonitoringTesting of transmitters
• H04B 17/13 - MonitoringTesting of transmitters for calibration of power amplifiers, e.g. of gain or non-linearity
• H04B 17/18 - Monitoring during normal operation
• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
• G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
• H04B 1/00 - Details of transmission systems, not covered by a single one of groups Details of transmission systems not characterised by the medium used for transmission
• H04B 17/27 - MonitoringTesting of receivers for locating or positioning the transmitter
• H04L 27/00 - Modulated-carrier systems

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.

IPC Classes  ?

• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• G01S 19/21 - Interference related issues

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.

IPC Classes  ?

• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• G01S 19/21 - Interference related issues