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 a memory, the processor configured to:
receive digital samples of RF radiation received via the RF antenna;
select, from among RF radiation data indicating the RF radiation received via the RF antenna, a subset of the RF radiation data, wherein the processor is configured to select a subset of the digital samples; and
transmit, over a communication network, RF characteristic data indicating the subset of the RF radiation data, wherein the processor is configured to transmit the subset of the digital samples over the communication network.
2. The RF sensor of claim 1 , wherein the digital samples comprise demodulated samples.
3. The RF sensor of claim 1 , wherein the processor is configured to select the subset of the digital samples based on a time period of reception of the subset of the digital samples.
4. The RF sensor of claim 1 , wherein the processor is configured to select the subset of the digital samples based on a frequency range of the subset of the digital samples.
5. The RF sensor of claim 1 , wherein the processor is configured to select the subset of the digital samples based on a power level of the subset of the digital samples.
6. The RF sensor of claim 1 , wherein the processor is configured to select the subset of the digital samples based on instructions, received over the communication network, indicating a time period of reception, frequency range, and/or power level for selection.
7. An RF signal determination system, comprising:
the RF sensor of claim 6 ; and
a second processor operatively coupled to a second memory, the second processor configured to:
send, over the communication network to the RF sensor, the instructions indicating the time period of reception, frequency range, and/or power level for selection;
receive, over the communication network from the RF sensor, the subset of the digital samples; and
detect, among the subset of the digital samples, an RF signal.
8. The RF sensor of claim 1 , wherein the processor is configured to:
input the digital samples of the RF radiation to a trained model;
identify, based on an output from the trained model generated in response to receiving the digital samples as an input, the subset of the digital samples as indicating an RF signal among the RF radiation; and
select the subset of the digital samples in response to identifying the subset of the digital samples as indicating the RF signal.
9. The RF sensor of claim 8 , wherein the processor is configured to identify the subset of the digital samples based on a time period of reception, frequency range, and/or power level of the digital samples indicated in the output of the trained model.
10. A method, comprising:
receiving, by a processor of a radio-frequency (RF) sensor, digital samples of RF radiation received via an RF antenna of the RF sensor;
selecting, by the processor, from among RF radiation data indicating the RF radiation received via the RF antenna of the RF sensor, a subset of the RF radiation data, wherein selecting the subset of the RF radiation data comprises selecting a subset of the digital samples; and
transmitting, over a communication network, RF characteristic data indicating the subset of the RF radiation data, wherein transmitting the RF characteristic data comprises transmitting the subset of the digital samples.
11. The method of claim 10 , wherein the digital samples comprise demodulated samples.
12. The method of claim 10 , wherein selecting the subset of the digital samples is based on a time period of reception of the subset of the digital samples.
13. The method of claim 10 , wherein selecting the subset of the digital samples is based on a frequency range of the subset of the digital samples.
14. The method of claim 10 , wherein selecting the subset of the digital samples is based on a power level of the subset of the digital samples.
15. The method of claim 10 , further comprising:
receiving instructions over the communication network indicating a time period of reception, frequency range, and/or power level for selection,
wherein selecting the subset of the digital samples is based on the instructions.
16. The method of claim 15 , further comprising:
sending, by a second processor over the communication network to the RF sensor, the instructions indicating the time period of reception, frequency range, and/or power level for selection;
receiving, by the second processor over the communication network from the RF sensor, the subset of the digital samples; and
detecting, by the second processor among the subset of the digital samples, an RF signal.
17. The method of claim 10 , further comprising, by the processor:
inputting the digital samples of the RF radiation to a trained model;
identifying, based on an output from the trained model generated in response to receiving the digital samples as an input, the subset of the digital samples as indicating an RF signal among the RF radiation; and
selecting the subset of the digital samples in response to identifying the subset of the digital samples as indicating the RF signal.
18. The method of claim 17 , wherein identifying the subset of the digital samples is based on a time period of reception, frequency range, and/or power level of the digital samples indicated in the output of the trained model.