Electromagnetic emission source identification apparatus and associated method, computer device,and computer software program product

• US 20030167139A1
• Filed: 04/26/2001
• Published: 09/04/2003
• Est. Priority Date: 04/26/2001
• Status: Abandoned Application

• Current Assignee: MCNC, Inc.
• Original Assignee: MCNC, Inc.
• Inventors: Vargas-Hurlston, Sarah, Swartz, John C., Mancusi, Joseph E., Williams, Charles Kenneth, Roberson, Mark W.
• Application Number:
  US09/842,834
• Publication Number:
  US 20030167139A1
• Time in Patent Office: Days
• US Class Current: 702/65
• CPC Class Codes: G01R 29/0878 Sensors; antennas; probes; detectors wave guide measuring sections G01R1/24
• CPC Class Codes: G01R 31/001 Measuring interference from external sources to, or emission from, the device under test, e.g. EMC, EMI, EMP or ESD testing measuring electromagnetic fields G01R29/08; circuits for generating HV pulses in dielectric strength testing G01R31/14
• CPC Class Codes: G01R 31/007 using microprocessors or computers

Abstract

An electromagnetic emission source identification apparatus is provided, the identification apparatus comprising a sensor device, a data transmitter, and a computer device. The sensor device is configured to sense an electromagnetic emission from a source, wherein the electromagnetic emission is sensed by the sensor device as corresponding sensed emission data. The data transmitter is in communication with the sensor device and is configured to transmit the sensed emission data from the sensor device. The computer device is configured to be in communication with the data transmitter. The computer device is further configured to process digital emission data, the digital emission data corresponding to the sensed emission data, so as to determine an identification indicator, an operational characteristic indicator, and/or an accessory characteristic indicator corresponding to the source. The processed digital emission data for the source is then compared to the corresponding identification indicator, operational characteristic indicator, and/or accessory characteristic indicator of each of a plurality known sources in a database operably engaged with the computer device so as to determine a best-match known source corresponding to the source. Associated methods as well as an associated computer device and computer software program product are also provided.

Claims

1. An electromagnetic emission source identification apparatus comprising:

a sensor device configured to sense an electromagnetic emission from a source, the electromagnetic emission being sensed by the sensor device as corresponding sensed emission data;

a data transmitter in communication with the sensor device and configured to transmit the sensed emission data from the sensor device; and

a computer device in communication with the data transmitter and configured to process digital emission data, the digital emission data corresponding to the sensed emission data, so as to determine at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator corresponding to the source.

2. An apparatus according to claim 1 wherein the sensor device further comprises a wound wire coil defining an axis therethrough.

3. An apparatus according to claim 2 wherein the wound wire coil further comprises a ferrite core disposed along the axis.

4. An apparatus according to claim 2 wherein the axis is substantially vertically disposed such that the sensor device is less sensitive to the electromagnetic emission from a substantially vertical lightning strike.

5. An apparatus according to claim 2 wherein the axis is substantially horizontally disposed such that the sensor device is less sensitive to the electromagnetic emission from a substantially horizontal lightning strike.

6. An apparatus according to claim 1 further comprising an electrostatic shielding apparatus operably engaged with the sensor device.

7. An apparatus according to claim 1 wherein the data transmitter comprises a wireless transmitter.

8. An apparatus according to claim 1 wherein the data transmitter comprises a wireless transmitter operating within a frequency range of between about 3 MHz and about 3 GHz.

9. An apparatus according to claim 1 wherein the data transmitter comprises a wireless transmitter having a modulation of between about 20 Hz and about 20 kHz with a dynamic range of at least about 80 dB.

10. An apparatus according to claim 1 further comprising a data converter module in communication with at least one of the sensor device, the data transmitter, and the computer device, the data converter module being configured to convert the sensed emission data into corresponding digital emission data.

11. An apparatus according to claim 10 wherein the data converter module is further configured to convert the sensed emission data into corresponding digital emission data without attenuating a local power grid emission component.

12. An apparatus according to claim 10 wherein the data converter module is further configured to at least one of filter the sensed emission data and amplify the sensed emission data prior to converting the sensed emission data to digital emission data.

13. An apparatus according to claim 10 wherein the digital emission data further comprises a threshold signal intensity separating sub-threshold digital emission data from super-threshold digital emission data.

14. An apparatus according to claim 10 further comprising a processing module in communication with the data converter module and configured to receive and process the digital emission data.

15. An apparatus according to claim 10 further comprising a processing module having a trigger module responsive to a threshold signal intensity, the threshold signal intensity separating sub-threshold digital emission data from super-threshold digital emission data, to actuate transmission of the super-threshold digital emission data by the data transmitter.

16. An apparatus according to claim 10 further comprising a processing module having a buffer module configured to retain at least a portion of the digital emission data, the buffer module being responsive to a threshold signal intensity, the threshold signal intensity separating sub-threshold digital emission data from super-threshold digital emission data, to actuate transmission of the at least a portion of the sub-threshold digital emission data with the super-threshold digital emission data by the data transmitter.

17. An apparatus according to claim 10 wherein the processing module further comprises a compression module configured to compress the digital emission data.

18. An apparatus according to claim 10 wherein the processing module further comprises a coding module configured to at least one of encode and encrypt the digital emission data.

19. An apparatus according to claim 10 wherein the processing module operably engages the data transmitter such that the data transmitter transmits the digital emission data to the computer device.

20. An apparatus according to claim 10 wherein the processing module operably engages the computer device such that the sensed emission data is converted into the corresponding digital emission data after the sensed emission data is transmitted to the computer device from the data transmitter.

21. An apparatus according to claim 1 wherein the computer device is further configured to process the digital emission data according to at least one of a power versus time in a frequency band analysis, a static frequency analysis, a joint time-frequency analysis (JTFA), an acoustic analysis, a short time duration analysis, and a short time Fourier transform (STFT) analysis so as to determine at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator corresponding to the source.

22. An apparatus according to claim 1 further comprising a plurality of sensor devices in communication with the computer device, wherein the computer device is configured to process the digital emission data from the plurality of sensor devices.

23. An apparatus according to claim 22 wherein the computer device is configured to process the digital emission data from the plurality of sensor devices according to a power versus time in a frequency band analysis so as to determine at least one of the operational characteristic indicator and the accessory characteristic indicator corresponding to the source.

24. An apparatus according to claim 22 wherein the computer device is configured to process the digital emission data from the plurality of sensor devices according to at least one of a short time duration analysis and a short time Fourier transform (STFT) analysis so as to determine the accessory characteristic indicator corresponding to the source.

25. An apparatus according to claim 1 further comprising a database operably engaged with the computer device and configured so as to have accessible therein at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator corresponding to each of a plurality of known sources.

26. An apparatus according to claim 25 wherein the computer device is further configured to compare at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator corresponding to the source with the corresponding at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator corresponding to each of the plurality of known sources in the database so as to identify a highest correlation known source of the plurality of known sources.

27. A computer device configured to implement an electromagnetic emission source identification apparatus for identifying a source from sensed emission data obtained from a sensor device, the sensed emission data being associated with an electromagnetic emission from the source, the sensor device being communicable with the computer device via a data transmitter, said computer device comprising:

a first processing portion configured to receive the sensed emission data; and

a second processing portion configured to process digital emission data, the digital emission data corresponding to the sensed emission data, so as to determine at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator corresponding to the source.

28. A computer device according to claim 27 further comprising a processing portion configured to convert the sensed emission data into corresponding digital emission data.

29. A computer device according to claim 27 wherein the second processing portion is further configured to process the sensed emission data according to at least one of a power versus time in a frequency band analysis, a static frequency analysis, a joint time-frequency analysis (JTFA), an acoustic analysis, a short time duration analysis, and a short time Fourier transform (STFT) analysis so as to produce an intensity result with respect to a reference domain.

30. A computer device according to claim 29 further comprising a processing portion configured provide a graphical representation of the intensity result with respect to the reference domain.

31. A computer device according to claim 29 further comprising a processing portion configured to identify a characteristic marker from the intensity result with respect to the reference domain, the characteristic marker corresponding to at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator of the source.

32. A computer device according to claim 27 further comprising a database operably engaged therewith and configured so as to have accessible therein a characteristic marker corresponding to at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator for each of a plurality of known sources.

33. A computer device according to claim 32 further comprising a processing portion configured to determine a common reference frame between a characteristic marker of the source and the corresponding characteristic marker of each of the plurality of known sources in the database using at least one of a correlation analysis, an interpolation analysis, and an extrapolation analysis.

34. A computer device according to claim 32 further comprising a processing portion configured to compare a characteristic marker of the source with the corresponding characteristic marker of each of the plurality of known sources in the database within a common reference frame so as to determine a best-match known source in the plurality of known sources.

35. A computer device according to claim 32 further comprising a processing portion configured to perform a redundancy comparison between the source and the plurality of known sources in the database so as to verify the best-match known source.

36. A computer device according to claim 32 further comprising a processing portion configured to compare at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator corresponding to the source with the corresponding at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator corresponding to each of the plurality of known sources in the database so as to identify a best-match known source in the plurality of known sources.

37. A method of identifying a source from an electromagnetic emission thereof, the electromagnetic emission being convertible into corresponding sensed emission data, said method comprising:

receiving the sensed emission data; and

processing digital emission data, the digital emission data corresponding to the sensed emission data, with a computer device so as to determine at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator corresponding to the source.

38. A method according to claim 37 further comprising detecting the electromagnetic emission of the source with a sensor device prior to receiving the sensed emission data.

39. A method according to claim 38 wherein detecting the electromagnetic emission further comprises detecting the electromagnetic emission of the source with a wound wire coil defining an axis therethrough.

40. A method according to claim 38 wherein detecting the electromagnetic emission further comprises detecting the electromagnetic emission of the source with a wound wire coil defining an axis therethrough and further comprising a ferrite core disposed along the axis.

41. A method according to claim 38 wherein detecting the electromagnetic emission further comprises detecting the electromagnetic emission of the source so as to lessen the sensitivity to electromagnetic emission from a substantially vertical lightning strike.

42. A method according to claim 38 wherein detecting the electromagnetic emission further comprises detecting the electromagnetic emission of the source so as to lessen the sensitivity to electromagnetic emission from a substantially horizontal lightning strike.

43. A method according to claim 38 further comprising converting the electromagnetic emission of the source into sensed emission data after detecting the electromagnetic emission of the source.

44. A method according to claim 38 further comprising transmitting the electromagnetic emission to the computer device as sensed emission data.

45. A method according to claim 37 further comprising converting the sensed emission data to digital emission data.

46. A method according to claim 45 further comprising filtering the sensed emission data prior to converting the sensed emission data to digital emission data.

47. A method according to claim 45 further comprising amplifying the sensed emission data prior to converting the sensed emission data to digital emission data.

48. A method according to claim 45 further comprising transmitting the digital emission data to the computer device after converting the sensed emission data to digital emission data.

49. A method according to claim 45 wherein converting the sensed emission data to digital emission data further comprises converting the sensed emission data to digital emission data without attenuating a local power grid emission component.

50. A method according to claim 45 further comprising converting the sensed emission data to digital emission data after receiving the sensed emission data at the computer device.

51. A method according to claim 37 further comprising separating the digital emission data into sub-threshold digital emission data and super-threshold digital emission data.

52. A method according to claim 51 further comprising a threshold signal intensity separating the sub-threshold digital emission data from the super-threshold digital emission data.

53. A method according to claim 52 further comprising transmitting the digital emission data to the computer device in response to the threshold signal intensity.

54. A method according to claim 51 further comprising transmitting the super-threshold digital emission data to the computer device.

55. A method according to claim 51 further comprising buffering at least a portion of the sub-threshold digital emission data.

56. A method according to claim 51 further comprising transmitting at least a portion of the sub-threshold digital intensity data to the computer device.

57. A method according to claim 37 further comprising at least one of compressing, encoding, and encrypting the digital emission data before processing the digital emission data.

58. A method according to claim 57 further comprising at least one of decompressing, decoding, and decrypting the digital emission data before processing the digital emission data.

59. A method according to claim 37 wherein processing the digital emission data further comprises processing the digital emission data according to at least one of a power versus time in a frequency band analysis, a static frequency analysis, a joint time-frequency analysis (JTFA), an acoustic analysis, a short time duration analysis, and a short time Fourier transform (STFT) analysis so as to produce an intensity result with respect to a reference domain.

60. A method according to claim 59 wherein processing the digital emission data further comprises producing a graphical representation of the intensity result with respect to the reference domain.

61. A method according to claim 59 wherein processing the digital emission data further comprises identifying a characteristic marker from the intensity result with respect to the reference domain, the characteristic marker corresponding to at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator of the source.

62. A method according to claim 37 wherein processing the digital emission data further comprises accessing, within a database operably engaged with the computer device, a characteristic marker corresponding to at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator for each of a plurality of known sources.

63. A method according to claim 62 wherein processing the digital emission data further comprises determining a common reference frame between a characteristic marker of the source and the characteristic marker of each of the plurality of known sources in the database using at least one of a correlation analysis, an interpolation analysis, and an extrapolation analysis.

64. A method according to claim 62 wherein processing the digital emission data further comprises comparing a characteristic marker of the source with the characteristic marker of each of the plurality of known sources in the database within a common reference frame so as to determine a best-match known source in the plurality of known sources.

65. A method according to claim 64 wherein processing the digital emission data further comprises performing a redundancy comparison between the source and the plurality of known sources in the database so as to verify the best-match known source.

66. A method according to claim 62 wherein processing the digital emission data further comprises comparing at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator of the source with the corresponding at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator of each of the plurality of known sources in the database so as to identify a best-match known source in the plurality of known sources.

67. A method of processing digital emission data, the digital emission data corresponding to an electromagnetic emission of a source, so as to identify the source, said method comprising:

processing the digital emission data with a computer device so as to identify a characteristic marker corresponding to at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator of the source; and

comparing the characteristic marker of the source with a characteristic marker of each of a plurality of known sources in a database operably engaged with the computer device, the characteristic marker of each of the plurality of known sources corresponding to at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator for the respective known source, within a common reference frame, so as to determine a best-match known source in the plurality of known sources corresponding to the source.

68. A method according to claim 67 wherein processing the digital emission data further comprises processing the digital emission data according to at least one of a power versus time in a frequency band analysis, a static frequency analysis, a joint time-frequency analysis (JTFA), an acoustic analysis, a short time duration analysis, and a short time Fourier transform (STFT) analysis so as to produce an intensity result with respect to a reference domain.

69. A method according to claim 68 wherein processing the digital emission data further comprises producing a graphical representation of the intensity result with respect to the reference domain.

70. A method according to claim 68 wherein processing the digital emission data further comprises identifying the characteristic marker from the intensity result with respect to the reference domain.

71. A method according to claim 67 further comprising determining a common reference frame between the characteristic marker of the source and the characteristic marker of each of the plurality of known sources in the database using at least one of a correlation analysis, an interpolation analysis, and an extrapolation analysis.

72. A method according to claim 67 wherein comparing the characteristic marker of the source with the characteristic marker of each of the plurality of known sources further comprises performing a redundancy comparison between the source and the plurality of known sources in the database so as to verify the best-match known source.

73. A computer software program product, executable by a computer device, for identifying a source from an electromagnetic emission thereof, the electromagnetic emission being convertible into corresponding sensed emission data, said computer software program product comprising:

a first executable portion for directing the collection of the sensed emission data; and

a second executable portion for processing digital emission data, the digital emission data corresponding to the sensed emission data, so as to determine at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator corresponding to the source.

74. A computer software program product according to claim 73 wherein the first executable portion is further capable of directing a sensor device to collect the electromagnetic emission of the source.

75. A computer software program product according to claim 73 further comprising an executable portion for converting the electromagnetic emission of the source into sensed emission data.

76. A computer software program product according to claim 73 further comprising an executable portion for converting the sensed emission data to digital emission data.

77. A computer software program product according to claim 73 further comprising an executable portion for directing the filtration of the sensed emission data.

78. A computer software program product according to claim 73 further comprising an executable portion for directing the amplification of the sensed emission data.

79. A computer software program product according to claim 73 further comprising an executable portion for directing the transmission of the sensed emission data to the computer device.

80. A computer software program product according to claim 76 further comprising an executable portion for directing the transmission of the digital emission data to the computer device.

81. A computer software program product according to claim 73 further comprising an executable portion for converting the sensed emission data to digital emission data without attenuating a local power grid emission component.

82. A computer software program product according to claim 73 further comprising an executable portion capable of separating the digital emission data into sub-threshold digital emission data and super-threshold digital emission data.

83. A computer software program product according to claim 82 further comprising an executable portion capable of designating a threshold signal intensity separating the sub-threshold digital emission data from the super-threshold digital emission data.

84. A computer software program product according to claim 83 further comprising an executable portion for directing transmission of the digital emission data to the computer device in response to the threshold signal intensity.

85. A computer software program product according to claim 82 further comprising an executable portion for directing transmission of the super-threshold digital emission data to the computer device.

86. A computer software program product according to claim 82 further comprising an executable portion for directing buffering of at least a portion of the sub-threshold digital emission data.

87. A computer software program product according to claim 82 further comprising an executable portion for directing transmission of at least a portion of the sub-threshold digital emission data with the super-threshold digital emission data to the computer device.

88. A computer software program product according to claim 76 further comprising an executable portion for at least one of compressing, encoding, and encrypting the digital emission data prior to execution of the second executable portion.

89. A computer software program product according to claim 88 further comprising an executable portion for at least one of decompressing, decoding, and decrypting the digital emission data prior to execution of the second executable portion.

90. A computer software program product according to claim 73 wherein the second executable portion is further capable of processing the digital emission data according to at least one of a power versus time in a frequency band analysis, a static frequency analysis, a joint time-frequency analysis (JTFA), an acoustic analysis, a short time duration analysis, and a short time Fourier transform (STFT) analysis so as to produce an intensity result with respect to a reference domain.

91. A computer software program product according to claim 90 further comprising an executable portion for producing a graphical representation of the intensity result with respect to the reference domain.

92. A computer software program product according to claim 90 wherein the second executable portion is further capable of identifying a characteristic marker from the intensity result with respect to the reference domain, the characteristic marker corresponding to at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator of the source.

93. A computer software program product according to claim 73 wherein the second executable portion is further capable of accessing, within a database operably engaged with the computer device, a characteristic marker corresponding to at least one of an identification indicator, an operational characteristic indicator, and an accessory characteristic indicator for each of a plurality of known sources.

94. A computer software program product according to claim 93 wherein the second executable portion is further capable of determining a common reference frame between a characteristic marker of the source and the characteristic marker of each of the plurality of known sources in the database using at least one of a correlation analysis, an interpolation analysis, and an extrapolation analysis.

95. A computer software program product according to claim 93 wherein the second executable portion is further capable of comparing a characteristic marker of the source with the characteristic marker of each of the plurality of known sources in the database within the common reference frame so as to determine a best-match known source in the plurality of known sources corresponding to the source.

96. A computer software program product according to claim 95 further comprising an executable portion for performing a redundancy comparison between the source and the plurality of known sources in the database so as to verify the best-match known source.

97. A computer software program product according to claim 73 wherein the second executable portion is further capable of comparing at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator of the source with the corresponding at least one of the identification indicator, the operational characteristic indicator, and the accessory characteristic indicator of each of the plurality of known sources in the database so as to identify a best-match known source in the plurality of known sources.