Method and apparatus for analyzing a transmission signal

• US 10,353,917 B2
• Filed: 02/27/2017
• Issued: 07/16/2019
• Est. Priority Date: 03/18/2016
• Status: Active Grant

• Current Assignee: Rohde & Schwarz GmbH & Company KG
• Original Assignee: Rohde & Schwarz GmbH & Company KG
• Inventors: Villarino Villa, Ruben, Leibfritz, Martin, Tuerk, Ulrich, Bednorz, Thilo
• Primary Examiner(s): Zarrineh, Shahriar
• Application Number:
  US15/443,035
• Publication Number:
  US 20170272431A1
• Time in Patent Office: 869 Days
• Field of Search: 726 6
• CPC Class Codes: G01R 31/3171 BER [Bit Error Rate] test
• CPC Class Codes: G06F 16/258 Data format conversion from or to a database
• CPC Class Codes: H04B 17/00 Monitoring; Testing of line transmission systems H04B3/46; arrangements for monitoring or testing transmission systems employing electromagnetic waves other than radio waves H04B10/07
• CPC Class Codes: H04B 17/23 Indication means, e.g. displays, alarms, audible means
• CPC Class Codes: H04B 17/26 using historical data, averaging values or statistics
• CPC Class Codes: H04B 17/309 Measuring or estimating channel quality parameters
• CPC Class Codes: H04B 3/46 Monitoring; Testing
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231

Abstract

A measurement device comprising a measurement unit adapted to measure a transmission characteristic for providing an eye pattern; and a conversion unit adapted to convert automatically the eye pattern into a character separated values, CSV, file.

Claims

1. A measurement device comprising:

one or more hardware processors configured to;

measure a transmission characteristic for providing an eye pattern;

draw the eye pattern on a screen in a drawing area divided in equally spaced bins of a two-dimensional histogram, wherein each bin of said two-dimensional histogram is represented by a counter value representing an occurrence frequency of signal traces of the measured transmission signal in the respective bin; and

convert automatically the eye pattern into a character separated values, CSV, file, wherein the body of the CSV file comprises lines including the counter values of the two-dimensional histogram separated by delimiters.

2. The measurement device according to claim 1, wherein the one or more processors are further configured to export the CSV file via a data interface and/or to import a CSV file received from another device via the data interface.

3. The measurement device according to claim 2, wherein said CSV file comprises a data body containing a histogram representing the eye pattern and a header containing information about the CSV file and its body.

4. The measurement device according to claim 1, wherein the provided eye pattern comprises a plurality of superimposed signal traces or superimposed signal segments of a measured or simulated transmission signal.

5. The measurement device according to claim 3, wherein the header and the body of the CSV file comprises text lines editable by a text editor.

6. The measurement device according to claim 1 further comprising a hardware processing unit configured to process the CSV file of the transmission signal for analyzing the eye pattern.

7. The measurement device according to claim 6, further comprising a hardware memory unit adapted to store the CSV file of the measured transmission characteristic for further processing by the hardware processing unit of said measurement device and/or for exporting the CSV file of the measured transmission characteristic via said data interface of said measurement device.

8. The measurement device according to claim 7, wherein said hardware processing unit is adapted to compare automatically the CSV file of the measured transmission characteristic with a CSV file imported by said measurement device via the data interface of said measurement device from another device.

9. The measurement device according to claim 7, wherein said hardware processing unit is adapted to execute an application program processing the CSV file of said measured transmission characteristic to analyze a transmission signal and/or a transmission channel.

10. The measurement device according to claim 9, wherein the application program is a spreadsheet application program providing a spreadsheet view of data within the data body of the CSV file, wherein the spreadsheet view is reducible to display the eye pattern.

11. The measurement device according to claim 1, further comprising a hardware probe adapted to tap a transmission signal from a physical transmission channel of a device under test.

12. A network analyzer comprising a measurement device comprising one or more hardware processors configured to:

measure a transmission characteristic for providing an eye pattern;

draw the eye pattern on a screen in a drawing area divided in equally spaced bins of a two-dimensional histogram, wherein each bin of said two-dimensional histogram is represented by a counter value representing an occurrence frequency of signal traces of the measured transmission signal in the respective bin; and

automatically convert the eye pattern into a character separated values, CSV, file, wherein the body of the CSV file comprises lines including the counter values of the two-dimensional histogram separated by delimiters.

13. An oscilloscope comprising a measurement device comprising one or more hardware processors configured to:

measure a transmission characteristic for providing an eye pattern;

draw the eye pattern on a screen in a drawing area divided in equally spaced bins of a two-dimensional histogram, wherein each bin of said two-dimensional histogram is represented by a counter value representing an occurrence frequency of signal traces of the measured trans-mission signal in the respective bin; and

convert automatically the eye pattern into a character separated values, CSV, file, wherein the body of the CSV file comprises lines including the counter values of the two-dimensional histogram separated by delimiters.

14. A system comprising at least one measurement device comprising one or more hardware processors configured to:

measure a transmission characteristic for providing an eye pattern;

draw the eye pattern on a screen in a drawing area divided in equally spaced bins of a two-dimensional histogram, wherein each bin of said two-dimensional histogram is represented by a counter value representing an occurrence frequency of signal traces of the measured trans-mission signal in the respective bin; and

convert automatically the eye pattern into a character separated values, CSV, file, wherein the body of the CSV file comprises lines including the counter values of the two-dimensional histogram separated by delimiters.

15. The system according to claim 14, wherein said system comprises an analyzer connected to said at least one measurement device and comprising one or more hardware processors configured to analyze the transmission characteristic by processing an imported CSV file received from said measurement device.

16. The system according to claim 15, further comprising a controller comprising one or more hardware processors configured to control an actor depending on the analyzing result provided by the analyzer to influence a measured transmission signal and/or a transmission channel.

17. The system according to claim 15, wherein said processors of the analyzer are adapted to compare automatically imported CSV files received from different measurement device of said system measuring the same or different transmission signals transported through the same or different transmission channels.

18. A method for analyzing a transmission signal or transmission channel comprising:

measuring a transmission characteristic to provide an eye pattern;

drawing the eye pattern on a screen in a drawing area of a display unit divided in equally spaced bins of a two-dimensional histogram, wherein each bin of said two-dimensional histogram is represented by a counter value representing an occurrence frequency of signal traces of the measured transmission signal in the respective bin; and

converting the provided eye pattern into a character separated values, CSV, file for further processing, wherein the body of the CSV file comprises lines including the counter values of the two-dimensional histogram separated by delimiters.

19. The method according to claim 18 wherein the CSV file comprises a body containing a histogram representing the eye pattern and a header containing information about the CSV file and its body.