Radio-frequency signal processing systems and methods
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.
1. A radio-frequency (RF) sensor, comprising:
an RF antenna; and
a processor operatively coupled to memory and configured to:
receive RF radiation via the RF antenna;
input, to a trained model, data indicative of characteristics of an RF signal among the RF radiation; and
based on an output from the trained model, determine at least one of:
a frequency of the RF signal;
a modulation type of the RF signal;
a power level of the RF signal;
a time period of reception of the RF signal at the RF sensor;
a signal-to-noise ratio (SNR) of the RF sensor;
an RF signal type of the RF signal;
an association of the RF signal with a type of RF source;
a deviation of the RF signal over time;
a deviation in operating condition of an RF source of the RF signal; and/or
that the RF signal is a new RF signal that is not associated with an operating environment in which the RF sensor received the RF signal,
wherein the processor is configured to, based on the output of the trained model, determine the deviation of the RF signal over time, and the deviation is in power level and/or SNR.
2. The RF sensor of claim 1 , wherein the processor is configured to, based on the output of the trained model, determine at least one of:
the RF signal type of the RF signal;
the association of the RF signal with the type of RF source; and/or
that the RF signal is the new RF signal that is not associated with the operating environment.
3. A radio-frequency (RF) sensor, comprising:
an RF antenna;
a processor operatively coupled to memory and configured to:
receive RF radiation via the RF antenna;
input, to a trained model, data indicative of characteristics of an RF signal among the RF radiation; and
based on an output from the trained model, determine at least one of:
a frequency of the RF signal;
a modulation type of the RF signal;
a power level of the RF signal;
a time period of reception of the RF signal at the RF sensor;
a signal-to-noise ratio (SNR) of the RF sensor;
an RF signal type of the RF signal;
an association of the RF signal with a type of RF source;
a deviation of the RF signal over time;
a deviation in operating condition of an RF source of the RF signal; and/or
that the RF signal is a new RF signal that is not associated with an operating environment in which the RF sensor received the RF signal; and
a software-defined radio (SDR) configured to generate and provide digital samples of the RF radiation to the processor,
wherein the processor is configured to obtain the data indicative of the characteristics of the RF signal using the digital samples.
4. A radio-frequency (RF) sensor, comprising:
an RF antenna; and
a processor operatively coupled to memory and configured to:
receive RF radiation via the RF antenna;
input, to a trained model, data indicative of characteristics of an RF signal among the RF radiation; and
based on an output from the trained model, determine at least one of:
a frequency of the RF signal;
a modulation type of the RF signal;
a power level of the RF signal;
a time period of reception of the RF signal at the RF sensor;
a signal-to-noise ratio (SNR) of the RF sensor;
an RF signal type of the RF signal;
an association of the RF signal with a type of RF source;
a deviation of the RF signal over time;
a deviation in operating condition of an RF source of the RF signal; and/or
that the RF signal is a new RF signal that is not associated with an operating environment in which the RF sensor received the RF signal,
wherein the processor is further configured to, based on the output from the trained model, transmit, over a communication network to a second processor, RF characteristic data indicative of a characteristic of the RF signal.
5. The RF sensor of claim 4 , wherein the RF characteristic data comprises digital samples of the RF radiation that include the RF signal.
6. The RF sensor of claim 1 , wherein the data indicative of the characteristics of the RF signal comprises digital samples of the RF radiation.
7. A radio-frequency (RF) sensor, comprising:
an RF antenna;
a processor operatively coupled to memory and configured to:
receive RF radiation via the RF antenna;
input, to a trained model, data indicative of characteristics of an RF signal among the RF radiation, the trained model comprising a trained statistical classifier (TSC) and/or a trained regression model;
based on an output of the trained model, determine a characteristic of the RF signal and/or of an RF source that transmitted the RF signal; and
a software-defined radio (SDR) configured to generate and provide digital samples of the RF radiation to the processor,
wherein the processor is configured to obtain the data indicative of the characteristics of the RF signal using the digital samples.
8. A radio-frequency (RF) sensor, comprising:
an RF antenna; and
a processor operatively coupled to memory and configured to:
receive RF radiation via the RF antenna;
input, to a trained model, data indicative of characteristics of an RF signal among the RF radiation, the trained model comprising a trained statistical classifier (TSC) and/or a trained regression model; and
based on an output of the trained model, determine a characteristic of the RF signal and/or of an RF source that transmitted the RF signal,
wherein the processor is further configured to, based on the output from the trained model, transmit, over a communication network to a second processor, RF characteristic data indicative of a characteristic of the RF signal.
9. The RF sensor of claim 8 , wherein the RF characteristic data comprises digital samples of the RF radiation that include the RF signal.
10. The RF sensor of claim 7 , wherein the processor is configured to, based on the output of the trained model, determine at least one of:
an RF signal type of the RF signal;
an association of the RF signal with a type of RF source;
a deviation of the RF signal over time; and/or
that the RF signal is a new RF signal that is not associated with an operating environment in which the RF sensor received the RF signal.
11. The RF sensor of claim 7 , wherein the data indicative of the characteristics of the RF signal comprises digital samples of the RF radiation.
12. A radio-frequency (RF) system, comprising:
an RF sensor, comprising:
an RF antenna; and
a first processor operatively coupled to first memory and configured to:
receive RF radiation via the RF antenna;
input, to a trained model, digital samples of an RF signal among the RF radiation; and
based on an output from the trained model, transmit, over a communication network, data indicative of characteristics of the RF signal; and
a second processor operatively coupled to second memory and configured to:
receive, over the communication network, the data indicative of characteristics of the RF signal; and
based on the data indicative of characteristics of the RF signal, determine at least one of:
a frequency of the RF signal;
a modulation type of the RF signal;
a power level of the RF signal;
a time period of reception of the RF signal at the RF sensor;
a signal-to-noise ratio (SNR) of the RF sensor;
an RF signal type of the RF signal;
an association of the RF signal with a type of RF source;
a deviation of the RF signal over time;
a deviation in operating condition of an RF source of the RF signal; and/or
that the RF signal is a new RF signal that is not associated with an operating environment in which the RF sensor received the RF signal,
wherein the second processor is configured to, based on the data indicative of the characteristics of the RF signal, determine the deviation of the RF signal over time, and the deviation is in power level and/or SNR.
13. The RF system of claim 12 , wherein the second processor is configured to, based on the data indicative of the characteristics of the RF signal, determine at least one of:
the RF signal type of the RF signal;
the association of the RF signal with the type of RF source; and/or
that the RF signal is the new RF signal that is not associated with the operating environment.
14. A radio-frequency (RF) system, comprising:
an RF sensor, comprising:
an RF antenna; and
a first processor operatively coupled to first memory and configured to:
receive RF radiation via the RF antenna;
input, to a trained model, digital samples of an RF signal among the RF radiation; and
based on an output from the trained model, transmit, over a communication network, data indicative of characteristics of the RF signal;
a second processor operatively coupled to second memory and configured to:
receive, over the communication network, the data indicative of characteristics of the RF signal; and
based on the data indicative of characteristics of the RF signal, determine at least one of:
a frequency of the RF signal;
a modulation type of the RF signal;
a power level of the RF signal;
a time period of reception of the RF signal at the RF sensor;
a signal-to-noise ratio (SNR) of the RF sensor;
an RF signal type of the RF signal;
an association of the RF signal with a type of RF source;
a deviation of the RF signal over time;
a deviation in operating condition of an RF source of the RF signal; and/or
that the RF signal is a new RF signal that is not associated with an operating environment in which the RF sensor received the RF signal; and
a software-defined radio (SDR) configured to generate and provide the digital samples of the RF radiation to the first processor.
15. The RF system of claim 12 , wherein the data indicative of the characteristics of the RF signal comprises digital samples of the RF radiation.
16. The RF system of claim 12 , wherein the trained model comprises a trained statistical classifier (TSC).
17. The RF system of claim 12 , wherein the trained model comprises a trained regression model.