IP Library Granted Patent US 12700930
Granted Patent B2
US 12700930 · App. 18/477,631 · Granted Aug 4, 2026

System and method for large-scale radio frequency signal collection and processing

Inventors: Brian Thomas Mengwasser (Washington, DC); Jennifer L. Alvarez (Westminster, CO); Augustus S. Moore (Denver, CO)
Assignee: Aurora Insight Inc.
H04B17/318G06N20/00H04W24/08H04W64/003
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Quick Facts
Patent No.
US 12700930
App. No.
18/477,631
Granted
Aug 4, 2026
Kind
B2
Abstract

A large-scale radio frequency signal collection and processing system comprising a plurality of sensor systems mounted on a plurality of collection platforms that integrates a plurality of overlapping datasets with differing characteristics (e.g., different resolutions, different view angles, different heights, different time periods, unrelated types of data) to generate an enriched dataset or datasets using a variety of processing techniques (e.g., statistical analysis, signal processing, image processing) that allows for more comprehensive analysis of the radio frequency signal landscape than would be possible using any of the datasets individually, or in combination but without such integration.

Claims (36)

1 . A method comprising:

receiving a plurality of datasets, each dataset comprising signal information comprising at least one common or overlapping metadata characteristic across the plurality of datasets;

separating each dataset of the plurality of datasets into at least a spatial component, a time domain component, and a frequency domain component;

mapping each element of each component of each dataset to their analogues in each of other datasets in the plurality of datasets;

developing statistics and metrics for one or more of the components; and

combining the plurality of datasets, their components, and the mapping between them into an enriched dataset of higher information content than any one of the plurality of datasets wherein the enriched dataset further comprises derivative information allowing production of a geographical map of radio frequency signals in a given area supplemented with analysis and statistics of radio frequency activity wherein the radio frequency activity comprises signal directions,

wherein the enriched dataset further comprises time information allowing production of a geographical map showing changes over time of the radio frequency signals in the given area based on a detection of changes in the presence or absence of multiple signals in the given area.

2 . The method of claim 1 , wherein the enriched dataset further comprises population density information allowing production of a geographical map showing changes in population density over time relative to changes over time of the radio frequency signals in the given area.

3 . The method of claim 1 , wherein the enriched dataset further comprises other non-radio-frequency-signal information allowing production of a map showing changes in the other non-radio-frequency-signal information over time relative to changes over time of the radio frequency signals in the given area.

4 . The method of claim 1 , wherein the enriched dataset comprises sufficient information to produce the geographical map of the radio frequency signals in the given area.

5 . The method of claim 1 , wherein the at least one common or overlapping metadata characteristic comprises one of a time characteristic, a frequency characteristic, and a location of capture characteristic.

6 . The method of claim 1 , wherein the signal information comprises radio frequency data.

7 . A system comprising:

memory storing instructions; and

at least one processor coupled to the memory, wherein the instructions, when executed by the at least one processor, cause the at least one processor to:

receive a plurality of datasets, each dataset comprising signal information comprising at least one common or overlapping metadata characteristic across the plurality of datasets;

separate each dataset of the plurality of datasets into at least a spatial component, a time domain component, and a frequency domain component;

map each element of each component of each dataset to their analogues in each of other datasets in the plurality of datasets;

develop statistics and metrics for one or more of the components; and

combine the plurality of datasets, their components, and the mapping between them into an enriched dataset of higher information content than any one of the plurality of datasets wherein the enriched dataset further comprises derivative information allowing production of a geographical map of radio frequency signals in a given area supplemented with analysis and statistics of radio frequency activity wherein the radio frequency activity comprises signal directions,

wherein the enriched dataset further comprises time information allowing production of a geographical map showing changes over time of the radio frequency signals in the given area based on a detection of changes in the presence or absence of multiple signals in the given area.

8 . The system of claim 7 , wherein the enriched dataset further comprises population density information allowing production of a geographical map showing changes in population density over time relative to changes over time of the radio frequency signals in the given area.

9 . The system of claim 7 , wherein the enriched dataset further comprises other non-radio-frequency-signal information allowing production of a map showing changes in the other non-radio-frequency-signal information over time relative to changes over time of the radio frequency signals in the given area.

10 . The system of claim 7 , wherein the enriched dataset comprises sufficient information to produce the geographical map of the radio frequency signals in the given area.

11 . The system of claim 7 , wherein the at least one common or overlapping metadata characteristic comprises one of a time characteristic, a frequency characteristic, and a location of capture characteristic.

12 . The system of claim 7 , wherein the signal information comprises radio frequency data.

13 . A non-transitory computer-readable medium that stores a set of instructions which when executed perform a method executed by the set of instructions comprising:

receiving a plurality of datasets, each dataset comprising signal information comprising at least one common or overlapping metadata characteristic across the plurality of datasets;

separating each dataset of the plurality of datasets into at least a spatial component, a time domain component, and a frequency domain component;

mapping each element of each component of each dataset to their analogues in each of other datasets in the plurality of datasets; and

developing statistics and metrics for one or more of the components; and combining the plurality of datasets, their components, and the mapping between them into an enriched dataset of higher information content than any one of the plurality of datasets wherein the enriched dataset further comprises derivative information allowing production of a geographical map of radio frequency signals in a given area supplemented with analysis and statistics of radio frequency activity wherein the radio frequency activity comprises signal directions,

wherein the enriched dataset further comprises time information allowing production of a geographical map showing changes over time of the radio frequency signals in the given area based on a detection of changes in the presence or absence of multiple signals in the given area.

14 . The non-transitory computer-readable medium of claim 13 , wherein the enriched dataset further comprises population density information allowing production of a geographical map showing changes in population density over time relative to changes over time of the radio frequency signals in the given area.

15 . The non-transitory computer-readable medium of claim 13 , wherein the enriched dataset further comprises other non-radio-frequency-signal information allowing production of a map showing changes in the other non-radio-frequency-signal information over time relative to changes over time of the radio frequency signals in the given area.

16 . The non-transitory computer-readable medium of claim 13 , wherein the enriched dataset comprises sufficient information to produce the geographical map of the radio frequency signals in the given area.

17 . The non-transitory computer-readable medium of claim 13 , wherein the at least one common or overlapping metadata characteristic comprises one of a time characteristic, a frequency characteristic, and a location of capture characteristic.