Automated narrow peak interference severity estimation

1. A method comprising:

obtaining, via a test system, data from one or more tests of a mobile network having at least one antenna, wherein the data includes a stream of Radio Frequency, RF, samples captured over-the-air or from a Common Public Radio Interface, CPRI, or an enhanced CPRI, eCPRI, link;

processing the data to detect peaks; performing an analysis of any detected peaks to identify any issues on the mobile network, said analysis including determining a relative power of said detected peaks with said relative power used to assign a severity estimation, wherein said determining a relative power includes obtaining a baseline power of a subset of said data and comparing an absolute power of said peak to said baseline power; and

causing display of a user interface that includes a reporting of said relative power and the severity estimation with the user interface.

2. The method as claimed in claim 1 , wherein said obtaining said baseline power includes modeling said baseline power for said subset of data, said modeling including performing one of a linear regression and an average on said subset of said data to determine a baseline power function.

3. The method as claimed in claim 2 , wherein said baseline power function is a constant.

4. The method as claimed in claim 2 , wherein said subset of said data is all of said data.

5. The method as claimed in claim 2 , wherein said obtaining said baseline further comprises averaging multiple samples of said subset of said data to obtain an average subset data set on which to perform said modeling.

6. The method as claimed in claim 2 , wherein said subset of said data is an occupied bandwidth of said data and wherein said obtaining said baseline further comprises filtering said subset of data to extract data pertaining to said occupied bandwidth.

7. The method as claimed in claim 1 , wherein said performing said analysis of detected peaks further includes sorting said detected peaks in order of said relative power to assign a relative severity estimation.

8. The method as claimed in claim 1 , wherein said processing the data includes processing the data for selected Antenna Carriers (AxC) on the CPRI or eCPRI link.

9. The method as claimed in claim 1 , wherein said causing said display includes a ranking of spectrum interferers by antenna based on the severity estimation.

10. The method as claimed in claim 9 , wherein, for any two spectrum interferers, a higher severity estimation is given to a peak with a higher relative power therebetween.

11. The method as claimed in claim 9 , wherein said display includes at least one spectrum interferer having a higher absolute power than another one spectrum interferer but ranked lower based on the severity estimation due to relative power.

12. The method as claimed in claim 1 , wherein said processing the data includes performing Fast Fourier Transforms on said data and filtering based on an occupied bandwidth.

13. A test system comprising:

a detector comprising a receiver configured to capture a stream of RF samples over-the-air or through connection to a Common Public Radio Interface, CPRI, or enhanced CPRI, eCPRI, link;

a processor; and

memory storing instructions that, when executed, cause the processor to:

obtain data from one or more tests of a mobile network having at least one antenna, wherein the data includes a stream of Radio Frequency, RF, samples captured over-the-air or from a Common Public Radio Interface, CPRI, or an enhanced CPRI, eCPRI, link;

process the data to detect peaks; perform an analysis of any detected peaks to identify any issues on the mobile network, said analysis including determining a relative power of said detected peaks with said relative power used to assign a severity estimation, wwherein said relative power is determined by obtaining a baseline power of a subset of said data and comparing an absolute power of said peak to said baseline power; and

cause display of a user interface that includes a reporting of said relative power and the severity estimation with the user interface.

14. The test system as claimed in claim 13 , wherein said baseline power is obtained by modeling said baseline power for said subset of data, said modeling including performing one of a linear regression and an average on said subset of said data to determine a baseline power function.

15. The test system as claimed in claim 13 wherein said analysis of detected peaks further includes sorting said detected peaks in order of said relative power to assign a relative severity estimation.

16. A non-transitory computer-readable storage medium having computer readable code stored thereon for programming a test system to perform the steps of:

obtaining data from one or more tests of a mobile network having at least one antenna, wherein the data includes a stream of Radio Frequency, RF, samples captured over-the-air or from a Common Public Radio Interface, CPRI, or an enhanced CPRI, eCPRI, link;

processing the data to detect peaks; performing an analysis of any detected peaks to identify any issues on the mobile network, said analysis including determining a relative power of said detected peaks with said relative power used to assign a severity estimation; and

causing display of a user interface that includes a reporting of said relative power and the severity estimation with the user interface, wherein said causing display includes a ranking of spectrum interferers by antenna based on the severity estimation and includes at least one spectrum interferer having a higher absolute power than another one spectrum interferer but ranked lower based on the severity estimation due to relative power.

17. The non-transitory computer-readable storage medium as claimed in claim 16 , wherein said determining a relative power includes obtaining a baseline power of a subset of said data and comparing an absolute power of said peak to said baseline power.

18. The non-transitory computer-readable storage medium as claimed in claim 16 , wherein said performing said analysis of detected peaks further includes sorting said detected peaks in order of said relative power to assign a relative severity estimation.