US2016374088A1PendingUtilityA1

Systems, methods, and devices for electronic spectrum management

Assignee: DGS GLOBAL SYSTEMS INCPriority: Mar 15, 2013Filed: Aug 15, 2016Published: Dec 22, 2016
Est. expiryMar 15, 2033(~6.6 yrs left)· nominal 20-yr term from priority
H04W 72/51H04W 72/541H04W 24/10H04W 4/029H04W 16/14H04B 17/27H04B 17/3911H04W 64/006H04W 24/08H04W 72/0453H04B 17/23H04W 72/0446H04B 17/318H04B 17/309
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Claims

Abstract

Systems, methods, and devices enable spectrum management by identifying, classifying, and cataloging signals of interest based on radio frequency measurements. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters.

Claims

exact text as granted — not AI-modified
The invention claimed is: 
     
         1 . A system for identifying a signal of interest, comprising:
 at least one device operable to detect two or more signals and determine the two or more signals are interrelated;   the at least one device operable to identify the two or more signals as the signal of interest;   the at least one device operable to determine a mean of the two or more signals does not average;   the at least one device operable to determine and store modulation type, protocol data and symbol timing data of the signal of interest;   
     
     
         2 . The system of  claim 1 , wherein the at least one device is further operable to run a full energy bandwidth correlation of each of the two or more signals, measure a value of signal transition for each of the two or more signals, run a spectral correlation between signals for each signal transition, and generate a mean correlation value of the spectral decomposition of each of the two or more signals. 
     
     
         3 . The system of  claim 1 , wherein the mean correlation value is between 0 and 1. 
     
     
         4 . The system of  claim 1 , wherein the at least one device is further operable to compare the mean correlation value to a threshold for determining the interrelation of the two or more signals. 
     
     
         5 . The system of  claim 1 , wherein the at least one device is further operable to determine the two or more signals are not interrelated. 
     
     
         6 . The system of  claim 5 , wherein the at least one device is further operable to measure interference between the two or more signals and generate a conflict alarm indicating the two or more signals interfere. 
     
     
         7 . The system of  claim 1 , wherein the at least one device is further operable to determine the two or more signals averages. 
     
     
         8 . The system of  claim 7 , wherein the at least one device is further operable to identify the two or more signals having multiple channels. 
     
     
         9 . The system of  claim 1 , wherein the at least one device operable to calculate signal degradation data for the signal of interest based on information associated with the signal of interest in a static database including noise figure parameters of a transmitter outputting the at least one signal of interest, hardware parameters, and environment parameters. 
     
     
         10 . The system of  claim 9 , wherein the at least one device is further operable to utilize the calculated signal degradation data with measured terrain data stored in a static database to perform pattern distortion, generate propagation and/or next neighbor interference models, determine interference variables, and perform best fit modeling to aide in signal and/or system optimization. 
     
     
         11 . A method for identifying a signal of interest, comprising:
 detecting two or more signals;   determining the two or more signals are interrelated;   identifying the two or more signals as the signal of interest;   determining a mean of the two or more signals does not average; and   determining and storing modulation type, protocol data and symbol timing data of the signal of interest;   
     
     
         12 . The method of  claim 11 , further comprising:
 running a full energy bandwidth correlation of each of the two or more signals;   measuring a value of signal transition for each of the two or more signals;   running a spectral correlation between signals for each signal transition; and   generate a mean correlation value of the spectral decomposition of each of the two or more signals.   
     
     
         13 . The method of  claim 11 , wherein the mean correlation value is between 0 and 1. 
     
     
         14 . The method of  claim 11 , further comprising comparing the mean correlation value to a threshold for determining the interrelation of the two or more signals. 
     
     
         15 . The method of  claim 11 , further comprising determining the two or more signals are not interrelated. 
     
     
         16 . The method of  claim 15 , further comprising measuring interference between the two or more signals and generating a conflict alarm indicating the two or more signals interfere. 
     
     
         17 . The method of  claim 11 , further comprising determining the two or more signals averages. 
     
     
         18 . The method of  claim 17 , further comprising identifying the two or more signals having multiple channels. 
     
     
         19 . The method of  claim 11 , further comprising calculating signal degradation data for the signal of interest based on information associated with the signal of interest in a static database including noise figure parameters of a transmitter outputting the at least one signal of interest, hardware parameters, and environment parameters. 
     
     
         20 . The method of  claim 19 , further comprising utilizing the calculated signal degradation data with measured terrain data stored in a static database to perform pattern distortion, generate propagation and/or next neighbor interference models, determine interference variables, and perform best fit modeling to aide in signal and/or system optimization.

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