Systems, methods, and devices for electronic spectrum management

• US 9,622,041 B2
• Filed: 06/07/2013
• Issued: 04/11/2017
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: DGS Global Systems, Inc., Digital Global Systems, Inc.
• Original Assignee: DGS Global Systems, Inc.
• Inventors: Garcia, Gabriel, Carbajal, Daniel
• Primary Examiner(s): Thier, Michael
• Assistant Examiner(s): KRUEGER, KENT K
• Application Number:
  US13/913,013
• Publication Number:
  US 20140269376A1
• Time in Patent Office: 1,404 Days
• Field of Search: None
• CPC Class Codes: H04B 17/23 Indication means, e.g. displays, alarms, audible means
• CPC Class Codes: H04B 17/27 for locating or positioning the transmitter
• CPC Class Codes: H04B 17/309 Measuring or estimating channel quality parameters
• CPC Class Codes: H04B 17/318 Received signal strength
• CPC Class Codes: H04B 17/3911 Fading models or fading generators
• CPC Class Codes: H04W 16/14 Spectrum sharing arrangements between different networks
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 24/10 Scheduling measurement reports ; Arrangements for measurement reports
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 64/006 with additional information processing, e.g. for direction or speed determination
• CPC Class Codes: H04W 72/0446 Resources in time domain, e.g. slots or frames
• CPC Class Codes: H04W 72/0453 Resources in frequency domain, e.g. a carrier in FDMA
• CPC Class Codes: H04W 72/51 based on terminal or device properties
• CPC Class Codes: H04W 72/541 using the level of interference

Abstract

Systems, methods, and devices enable spectrum management by identifying, classifying, and cataloging signals of interest based on radio frequency measurements. In an embodiment, signals and the parameters of the signals may be identified and indications of available frequencies may be presented to a user. In another embodiment, the protocols of signals may also be identified. In a further embodiment, the modulation of signals, data types carried by the signals, and estimated signal origins may be identified.

Claims

1. An apparatus for spectrum management, comprising:

a spectral analysis receiver;

a location receiver;

a memory;

a display; and

a processor coupled to the spectral analysis receiver, the location receiver, the memory, and the display, wherein the processor is configured with processor-executable instructions to perform operations comprising;

receiving a location input from the location receiver;

determining a location of the spectrum management device based on the location input;

receiving spectrum measurements for spectrum input up to 60 GHz from the spectral analysis receiver;

determining a time associated with the spectrum measurements;

converting the spectrum measurements into spectral representation data;

analyzing the spectral representation data to identify a signal above a power threshold;

computing frequency differences and phase differences for multiple instances of the identified signal based on the spectral representation data;

determining a frequency difference of arrival for the identified signal based on the frequency differences and phase differences;

determining a signal parameter of the identified signal based on the spectral representation data;

determining a modulation type of the identified signal based on the spectral representation data;

determining a protocol of the identified signal based on the spectral representation data;

determining a symbol rate of the identified signal based on the spectral representation data;

measuring a time difference of arrival of the identified signal;

locating a signal-emitting device from which the identified signal is emitted based on the time difference of arrival of the identified signal;

predicting possible movement and future location and operation of the signal-emitting device based on the signal parameter, the modulation type, the protocol, the symbol rate, the time difference of arrival of the identified signal, the frequency difference of arrival for the identified signal, and the location of the signal-emitting device;

including a Bayesian filter to determine an average change in variation for the time difference of arrival of the identified signal and/or frequency difference of arrival for the identified signal to detect and predict movement of the signal-emitting device;

storing the signal parameter, the modulation type, the protocol, the symbol rate, the location of the spectrum management device, and the time associated with the spectrum measurements in a history database in the memory; and

displaying, on the display, points of interest where the identified signal is expected to be emanating from.

2. The apparatus of claim 1, wherein:

the spectral analysis receiver generates Radio Frequency (RF) energy measurements over a range from 9 kHz to 6 GHz;

the spectral representation data comprises I and Q data; and

wherein the processor is configured with processor-executable instruction to perform operations such that converting the RF energy measurements into spectral representation data comprises applying a Fast Fourier Transform to the RF energy measurements.

3. The apparatus of claim 1, wherein the spectral analysis receiver is an RF receiver, and wherein the RF receiver is configured to generate RF energy measurements over a range from 0 kHz to 24 GHz.

4. An apparatus for spectrum management, comprising:

a spectral analysis receiver;

a memory;

a display; and

a processor coupled to the spectral analysis receiver, the memory, and the display, wherein the processor is configured with processor-executable instructions to perform operations comprising;

receiving spectrum measurements for spectrum input up to 60 GHz from the spectral analysis receiver;

determining a time associated with the spectrum measurements;

converting the spectrum measurements into spectral representation data;

computing frequency differences and phase differences for multiple instances of an identified signal based on the spectral representation data;

determining a frequency difference of arrival for the identified signal based on the frequency differences and phase differences;

measuring a time difference of arrival of the identified signal;

estimating a location of a signal-emitting device from which the identified signal is emitted based on the frequency difference of arrival for the identified signal and the time difference of arrival of the identified signal;

predicting possible movement and future location and operation of the signal-emitting device based on the estimated location of the signal-emitting device and the spectral representation data pertaining to the identified signal;

including a Bayesian filter to determine an average change in variation for the time difference of arrival of the identified signal and/or frequency difference of arrival for the identified signal to detect and predict movement of the signal-emitting device; and

displaying, on the display, an indication of an estimated origin of the identified signal.

5. The apparatus of claim 4, wherein the spectral analysis receiver is an RF receiver, and wherein the RF receiver is configured to generate RF energy measurements over a range from 0 kHz to 24 GHz.

6. A method for spectrum management, comprising:

receiving a location input from a location receiver;

determining a location of a spectrum management device based on the location input;

receiving spectrum measurements for spectrum input up to 60 GHz from a spectral analysis receiver;

determining a time associated with the spectrum measurements;

converting the spectrum measurements into spectral representation data;

analyzing the spectral representation data to identify a signal above a power threshold;

computing frequency differences and phase differences for multiple instances of the identified signal based on the spectral representation data;

determining a frequency difference of arrival for the identified signal based on the frequency differences and phase differences;

determining a signal parameter of the identified signal based on the spectral representation data;

determining a modulation type of the identified signal based on the spectral representation data;

determining a protocol of the identified signal based on the spectral representation data;

determining a symbol rate of the identified signal based on the spectral representation data;

measuring a time difference of arrival of the identified signal;

locating a signal-emitting device from which the identified signal is emitted based on the time difference of arrival of the identified signal;

predicting possible movement and future location and operation of the signal-emitting device based on the signal parameter, the modulation type, the protocol, the symbol rate, the time difference of arrival of the identified signal, the frequency difference of arrival for the identified signal, and the location of the signal-emitting device;

determining an average change in variation for the time difference of arrival of the identified signal and/or frequency difference of arrival for the identified signal to detect and predict movement of the signal-emitting device using a Bayesian filter;

storing the signal parameter, the modulation type, the protocol, the symbol rate, the location of the spectrum management device, and the time associated with the spectrum measurements in a history database; and

displaying points of interest where the identified signal is expected to be emanating from.

7. The method of claim 6, wherein:

the spectral analysis receiver generates RF energy measurements over a range from 9 kHz to 6 GHz;

the spectral representation data comprises I and Q data; and

wherein the processor is configured with processor-executable instruction to perform operations such that converting the RF energy measurements into spectral representation data comprises applying a Fast Fourier Transform to the RF energy measurements.

8. The method of claim 6, wherein the spectral analysis receiver is an RF receiver, and wherein the RF receiver is configured to generate RF energy measurements over a range from 0 kHz to 24 GHz.

9. A method for spectrum management, comprising:

receiving spectrum measurements for spectrum input up to 60 GHz from a spectral analysis receiver;

determining a time associated with the spectrum measurements;

converting the spectrum measurements into spectral representation data;

computing frequency differences and phase differences for multiple instances of an identified signal based on the spectral representation data;

determining a frequency difference of arrival for the identified signal based on the frequency

differences and phase differences;

measuring a time difference of arrival of the identified signal;

estimating a location of a signal-emitting device from which the identified signal is emitted based on the frequency difference of arrival for the identified signal and the time difference of arrival of the identified signal;

predicting possible movement and future location and operation of the signal-emitting device based on the estimated location of the signal-emitting device and the spectral representation data pertaining to the identified signal;

determining an average change in variation for the time difference of arrival of the identified signal and/or frequency difference of arrival for the identified signal to detect and predict movement of the signal-emitting device using a Bayesian filter; and

displaying an indication of an estimated origin of the identified signal.

10. The method of claim 9, wherein the spectral analysis receiver is an RF receiver, and wherein the RF receiver is configured to generate RF energy measurements over a range from 0 kHz to 24 GHz.

11. A non-transitory processor readable medium having stored thereon processor-executable instructions configured to cause a processor to perform operations comprising:

receiving a location input from a location receiver;

determining a location of the spectrum management device based on the location input;

receiving spectrum measurements for spectrum input up to 60 GHz from a spectral analysis receiver;

determining a time associated with the spectrum measurements;

converting the spectrum measurements into spectral representation data;

analyzing the spectral representation data to identify a signal above a power threshold;

computing frequency differences and phase differences for multiple instances of the identified signal based on the spectral representation data;

determining a frequency difference of arrival for the identified signal based on the frequency differences and phase differences;

determining a signal parameter of the identified signal based on the spectral representation data;

determining a modulation type of the identified signal based on the spectral representation data;

determining a protocol of the identified signal based on the spectral representation data;

determining a symbol rate of the identified signal based on the spectral representation data;

measuring a time difference of arrival of the identified signal;

locating a signal-emitting device from which the identified signal is emitted based on the time difference of arrival of the identified signal;

predicting possible movement and future location and operation of the signal-emitting device based on the signal parameter, the modulation type, the protocol, the symbol rate, the time difference of arrival of the identified signal, the frequency difference of arrival for the identified signal, and the location of the signal-emitting device;

determining an average change in variation for the time difference of arrival of the identified signal and/or frequency difference of arrival for the identified signal to detect and predict movement of the signal-emitting device using a Bayesian filter;

storing the signal parameter, the modulation type, the protocol, the symbol rate, the location of the spectrum management device, and the time associated with the spectrum measurements in a history database; and

displaying points of interest where the identified signal is expected to be emanating from.

12. The non-transitory processor readable medium of claim 11, wherein the stored processor-executable instructions are configured to cause a processor to perform operations such that:

the spectral analysis receiver generates RF energy measurements over a range from 9 kHz to 6 GHz;

the spectral representation data comprises I and Q data; and

wherein the processor is configured with processor-executable instructions to perform operations such that converting the RF energy measurements into spectral representation data comprises applying a Fast Fourier Transform to the RF energy measurements.

13. The non-transitory processor readable medium of claim 11, wherein the spectral analysis receiver is an RF receiver, and wherein the RF receiver is configured to generate RF energy measurements over a range from 0 kHz to 24 GHz.

14. A non-transitory processor readable medium having stored thereon processor-executable instructions configured to cause a processor to perform operations comprising:

receiving spectrum measurements for spectrum input up to 60 GHz from a spectral analysis receiver;

determining a time associated with the spectrum measurements;

converting the spectrum measurements into spectral representation data;

computing frequency differences and phase differences for multiple instances of an identified signal based on the spectral representation data;

determining a frequency difference of arrival for the identified signal based on the computed frequency differences and phase differences;

measuring a time difference of arrival of the identified signal;

estimating a location of a signal-emitting device from which the identified signal is emitted based on the frequency difference of arrival for the identified signal and the time difference of arrival of the identified signal;

predicting possible movement and future location and operation of the signal-emitting device based on the estimated location of the signal-emitting device and the spectral representation data pertaining to the identified signal;

determining an average change in variation for the time difference of arrival of the identified signal and/or frequency difference of arrival for the identified signal to detect and predict movement of the signal-emitting device using a Bayesian filter; and

displaying an indication of an estimated origin of the identified signal.

15. The non-transitory processor readable medium of claim 14, wherein the spectral analysis receiver is an RF receiver, and wherein the RF receiver is configured to generate RF energy measurements over a range from 0 kHz to 24 GHz.